[ { "id": "coto-2005-MAC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "MammoExplorer: An Advanced CAD Application for Breast DCE-MRI", "date": "2005-11", "abstract": "Currently X-ray mammography is the most widely used method for early detection of breast cancer. However, the use of Dynamic Contrast Enhanced\r\nMRI (DCE-MRI) has gained wider attention, since it considerably improves tumor detection and classification by analyzing the flow of contrast agent within the breast tissue. In this paper we present MammoExplorer, a CAD application that combines advanced interaction, segmentation and visualization techniques to explore Breast DCE-MRI data. Our application uses Brushing and Linking, Two-level Volume Rendering, Importance-driven Volume Rendering, and False Color Maps. In addition, we present Enhancement\r\nScatterplots, a novel graphical representation of DCE-MRI data, novel segmentation approaches, and a new way to explore time-varying CE-MRI\r\ndata.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 298, "image_height": 253, "name": "coto-2005-MAC-image.jpg", "type": "image/jpeg", "size": 34554, "path": "Publication:coto-2005-MAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 486, "drupal_id": 286, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ErnestoCoto", "firstname": "Ernesto", "lastname": "Coto", "searchname": "Ernesto Coto", "is_teacher": false, "name": "Ernesto Coto", "publications": [ "coto-2005-MAC", "TR-186-2-05-02" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "coto-2005-MAC", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=486", "__class": "Author" }, { "id": 160, "drupal_id": 152, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/SörenGrimm", "firstname": "Sören", "lastname": "Grimm", "searchname": "Sören Grimm", "is_teacher": false, "name": "Sören Grimm", "publications": [ "bruckner-2005-ICV", "bruckner-2006-ICE", "coto-2005-MAC", "facial2004", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Grimm-thesis", "RAUTEK06", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03" ], 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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The key idea is to classify the underlying data according\r\nto its prominence on the resulting visualization by importance value.\r\nThe importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\r\n\r\nFeatures within the volumetric data are classified according to a new dimension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of\r\nsparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step\r\nto traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\r\n\r\nThe applicability of importance-driven visualization is demonstrated on several examples from medical diagnostics scenarios, flow visualization,\r\nand interactive illustrative visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1795, "image_height": 1512, "name": "phd-viola-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/", "__class": "Publication" }, { "id": "groeller-2005-dia", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Diagnostic Relevant Visualization of Vascular Structures ", "date": "2005", "abstract": "Traditional volume visualization techniques sometimes provide incomplete clinical\r\ninformation needed for applications in medical visualization. In the area of vascular visualization\r\nimportant features such as the lumen of a diseased vessel segment may not be\r\nvisible. One way to display vascular structures for diagnostic purposes is to generate longitudinal\r\ncross-sections in order to show their lumen, wall, and surrounding tissue in a curved\r\nplane. Curved planar reformation (CPR) has proven to be an acceptable practical solution.\r\nWe discuss four different methods to generate CPR images from single vessel segments: Projected\r\nCPR, stretched CPR, straightened CPR, and helical CPR. Furthermore we investigate\r\nthree different methods for displaying vascular trees: Multi-path projected CPR, multi-path\r\nstretched CPR, and untangled CPR. The principle concept of each method is discussed and\r\ndetailed information for the realization is given. In addition the properties, advantages and\r\ndisadvantages of each method are summarized.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 511, "image_height": 490, "name": "groeller-2005-dia-image.jpg", "type": "image/jpeg", "size": 654235, "path": "Publication:groeller-2005-dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 162, "drupal_id": 48, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ArminKanitsar", "firstname": "Armin", "lastname": "Kanitsar", "searchname": "Armin Kanitsar", "is_teacher": 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Fleischmann", "is_teacher": false, "name": "Dominik Fleischmann", "publications": [ "alacruzECR2004", "groeller-2005-dia", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Koechl-2003-Com", "LaCruz-2004-NMF", "LaCruz2004", "Mistelbauer_Gabriel_2016", "mistelbauer-2012-cr", "roos-2007-mcp", "Straka-2003-3DW", "Straka-2003-Apr", "Straka-2003-Bon", "Straka-2003-CTA", "Straka-2004-BSA", "Straka-2004-TVG", "StrakaVis2004" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=164", "__class": "Author" }, { "id": 165, "drupal_id": 446, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/RainerWegenkittl", "firstname": "Rainer", "lastname": "Wegenkittl", "searchname": "Rainer 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/", "__class": "Publication" }, { "id": "viola-2005-imp", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Feature Enhancement in Volume Visualization", "date": "2005", "abstract": "This paper presents importance-driven feature enhancement as a technique for the automatic generation of cut-away and ghosted views out of volumetric data. The presented focus+context approach removes or suppresses less important parts of a scene to reveal more important underlying information. however, less important parts are fully visible in those regions, where important visual information is not lost, i.e., more relevant features are not occluded.\r\nFeatures within the volumetric data are first classified according to a new dimension denoted as object importance.\r\nThis property determines which structures should be readily discernible and which structures are less important.\r\nNext, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance (importance compositing).\r\nThe paper includes an extended discussion on several possible schemes for levels of sparseness specification. Furthermore different approaches to importance compositing are treated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1795, "image_height": 1512, "name": "viola-2005-imp-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:viola-2005-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, "name": "Ivan Viola", 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"url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=166", "__class": "Author" } ], "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "4", "pages_from": "408", "pages_to": "418", "volume": "11", "research_areas": [], "keywords": [ "non-photorealistic techniques", "view-dependent visualization", "volume rendering", "focus+context techniques", "level-of-detail techniques" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1795, "image_height": 1512, "name": "viola-2005-imp-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:viola-2005-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2005-imp-paper.pdf", "type": "application/pdf", "size": 36884028, "path": "Publication:viola-2005-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ADAPT", "workgroup_id": "vis", "drupal_id": 4263, "drupal_path": "/research/projects/ADAPT", "name": "ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/", "__class": "Publication" }, { "id": "knapp_michael_2004_MAS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Memory Allocation Strategies for Large Volumetric Data-Sets", "date": "2004-12", "abstract": "Since the development of medical three dimensional imaging devices\r\nin the 1970s, volumetric data processing has tremendously gained in\r\nimportance. With the growing size of the data-sets, exhausting the\r\ncapabilities of the hardware of its time, methods for efficient\r\nvolumetric data processing have been always a hot topic. In this\r\ndiploma thesis two approaches for processing large volumetric\r\ndata-sets are presented. Both approaches utilize a block volume for\r\nstoring the data. Further data compression and out-of-core\r\nprocessing are incorporated. Efficiency is achieved by processing\r\nonly the required portion of data while omitting the non-related\r\ndata having no effect on the intended result of the algorithm. This\r\nis supported by utilization of the knowledge about access patterns\r\nof the algorithm. Also methods for optimizing the efficiency by\r\nexploiting architectural properties of the computer hardware are\r\npresented.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1815, "image_height": 1368, "name": "knapp_michael_2004_MAS-image.jpg", "type": "image/jpeg", "size": 264037, "path": "Publication:knapp_michael_2004_MAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 172, "drupal_id": 50, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MichaelKnapp", "firstname": "Michael", "lastname": "Knapp", "searchname": "Michael Knapp", "is_teacher": false, "name": "Michael Knapp", "publications": [ "kanitsar-2002-Chr", "knapp_michael_2004_MAS", "Knapp-2003-SAT", "knapp-2004-fic", "knapp-2004-semi" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "knapp-2004-semi", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=172", "__class": "Author" } ], "supervisor": [ { "id": 160, "drupal_id": 152, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/SörenGrimm", "firstname": "Sören", "lastname": "Grimm", "searchname": "Sören Grimm", "is_teacher": false, "name": "Sören Grimm", "publications": [ "bruckner-2005-ICV", "bruckner-2006-ICE", "coto-2005-MAC", "facial2004", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Grimm-thesis", "RAUTEK06", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bruckner-2004-EVV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "hartmann-2005-adv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knapp_michael_2004_MAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "rautek-2005-dvr", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=160", "__class": "Author" } ], "research_areas": [], "keywords": [ "volume processing", "large data" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1815, "image_height": 1368, "name": "knapp_michael_2004_MAS-image.jpg", "type": "image/jpeg", "size": 264037, "path": "Publication:knapp_michael_2004_MAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knapp_michael_2004_MAS-Thesis.pdf", "type": "application/pdf", "size": 8551553, "path": "Publication:knapp_michael_2004_MAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ADAPT", "workgroup_id": "vis", "drupal_id": 4263, "drupal_path": "/research/projects/ADAPT", "name": "ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/", "__class": "Publication" }, { "id": "Viola-2004-ImpX2", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Volume Rendering", "date": "2004-10", "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. Our technique is a generalization of cut-away views,\r\nwhich – depending on the viewpoint – remove or suppress less important\r\nparts of a scene to reveal more important underlying information.\r\nWe automatize and apply this idea to volumetric data.\r\nEach part of the volumetric data is assigned an object importance\r\nwhich encodes visibility priority. This property determines which\r\nstructures should be readily discernible and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in those\r\nareas where no occlusion occurs. Thus the objects of interest are\r\nclearly visible. For each object several representations, i.e., levels of\r\nsparseness, are specified. The display of an individual object may\r\nincorporate different levels of sparseness. The goal is to emphasize\r\nimportant structures and to maximize the information content in the\r\nfinal image.\r\nThis paper also discusses several possible schemes for level of\r\nsparseness specification and different ways how object importance\r\ncan be composited to determine the final appearance of a particular\r\nobject.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 244, "name": "Viola-2004-ImpX2-image.jpg", "type": "image/jpeg", "size": 12593, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, "name": "Ivan Viola", "publications": [ "2013_Viola_Ivan_2013_MTS", "Alharbi_2021", "Artner-2004-Hig", "Artner-2005-Hig", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "bernhard-2016-gft", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "boffi-2024-bagginghook", "bruckner-2005-vid", "bruckner-2010-HVC", "burns-2007-fea", "cellVIEW_2015", "Chen-Information-2016", "Cornel2016CFM", "Csebfalvi-2002-FPVF", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Ford-2012-HRV", "Furmanova_2018", "Gehrer-2017-molmach", "Groeller-2017-PTPMD", "Hadwiger-2002-Fas", "Halladjian_2020", "Kehl-Direct-2016", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PMP", "koch_bernhard_2018-1", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Kozlikova-Visualization-2016b", "Krone2016VABC", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "li-2019-gdc", "Masterthesis-Viola", "Mazza_2020", "Miao_2019", "miao_nantech_2019", "miao_nar_2020", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2015-mc", "mindek-2017-marion", "mindek-2017-virtualcell", "Neumann-2002-Fea", "nguyen_2020-covid", "patel-2010-SVV", "phd-viola", "polatsek-2018-stv", "Rautek-2008-kav", "Rautek-2008-VF", "Rautek06Vis", "Reisacher2016", "ruiz-2008-OVR", "ruiz-2008-SEV", "Sarkis_2021", "Sbardellati-2019-vcbm", "sbert-2017-sa_course_0023", "seyfert-2017", "solteszova-2010-MOS", "Solteszova2016", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "toth-2007-ndd", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "vad_viktor-2017-WVE", "vad-2016-bre", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-2007-ort", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "vitruvian_2019", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2019-ccm", "waldner-2014-af", "waldner-2014-ghi", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2005", "Zeng_2021" ], "publications_first": [], "project_leader": [ "Animated Cell Tab development", "exvisation", "Illustrare", "illvisation" ], "publication_field": [ { "publ_id": "2017-kouril-illcell", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Artner-2005-Thesis", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "balabanian-2009-mav", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Balduz_01", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "dietrich-2016-viseq2", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "gangl-2018-gpsart", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Gehrer_Daniel_CUI", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Gehrer-2017", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "glinzner-2016-tex", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "haidacher-2004-FVV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "haidacher-2005-MND", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "haidacher-2007-idr", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "haushofer-2018-skinning", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "horvath-2018-ism", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kapferer-2017-godot", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "klein_2019_PHD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "klein-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "koch-2018-sso", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "koehle-2013-sgv", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kohlmann-2009-lssl", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "kouril-2015-maya2cellview", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kouril-2021-phdthesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Kugler_2019", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Langer_Maximillian_DMV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "LeMuzic_2016_PhD", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "LeMuzic_2016_PhD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "lipp-2017-vulkan", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "malik-thesis", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Matusich-2017-01", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mazza_2021_05", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "miao_thesis_2019", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mitterhofer_2017", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "moerth-2018-tpose", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Plank_Pascal_2015_HVP", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "plank-2017-sldg", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "puenguentzky-2014-ht", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "raidou_vcbm14", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rasch-2016-imgses", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "rautek-2009-vmv", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Reisacher_Matthias_CPW", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "sbardellati_ba_2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "sifuentes-2018-crowd", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "sorger-2017-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "textures-3d-printing", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "Thurner-2005-IVR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "vad_2015_phd", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Viola_Ivan_2013_HQ3", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Viola-05-Smart", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "viola-2007-ort", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Viola-Pondering-2017", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "vis-foa", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "waldin-2017-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Wihann_2017", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=171", "__class": "Author" }, { "id": 162, "drupal_id": 48, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ArminKanitsar", "firstname": "Armin", "lastname": "Kanitsar", "searchname": "Armin Kanitsar", 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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To target these issues we present a new technique for efficient data addressing. Furthermore, we introduce a new processing scheme for volume raycasting which exploits thread-level parallelism—a technology now supported by commodity computer architectures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 274, "name": "grimm-2004-arefined-image.jpg", "type": "image/jpeg", "size": 24183, "path": "Publication:grimm-2004-arefined", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 160, "drupal_id": 152, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/SörenGrimm", 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"reviewer_1", "ordernum": 0 }, { "publ_id": "mindek-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mistelbauer_Gabriel_2016", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Nowak_2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "puehringer-2009-sbm", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "rraidou_EG17", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schmidt-phd", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Solteszova-2009-VQN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "spoerk-2010-hpgpu", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "VisWeek-Tutorial-2012-Uncertainty", "field_id": "lecturer", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=161", "__class": "Author" }, { "id": 162, "drupal_id": 48, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ArminKanitsar", "firstname": "Armin", "lastname": "Kanitsar", 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"Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", 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Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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Such approaches typically need an enormous amount of memory. They are limited to sizes which do not satisfy the medical data used in daily clinical routine. We present a new volume raycasting approach based on image-ordered raycasting with object-ordered processing, which is able to perform high-quality rendering of very large medical data in real-time on commodity computers. For large medical data such as computed tomographic (CT) angiography run-offs (512x512x1202) we achieve rendering times up to 2.5 fps on a commodity notebook. We achieve this by introducing a memory efficient acceleration technique for on-the-fly gradient estimation and a memory efficient hybrid removal and skipping technique of transparent regions. We employ quantized binary histograms, granular resolution octrees, and a cell invisibility cache. These acceleration structures require just a small extra storage of approximately 10%. 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Silver, T. Ertl, C. Silva", "isbn": "0-7803-8781-3", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "Three-Dimensional Graphics and Realism," ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "grimm-2004-memory-image.jpg", "type": "image/jpeg", "size": 54582, "path": "Publication:grimm-2004-memory", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grimm-2004-memory-Paper.pdf", "type": "application/pdf", "size": 582605, "path": "Publication:grimm-2004-memory", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ADAPT", "workgroup_id": "vis", "drupal_id": 4263, "drupal_path": "/research/projects/ADAPT", "name": "ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/", "__class": "Publication" }, { "id": "grimm-2004-volume", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data", "date": "2004-09", "abstract": "We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots\r\nare a point-based representation of volumetric data. An individual Vot is specified by the coefficients of a Taylor\r\nseries expansion, i.e. the function value and higher order derivatives at a specific point. A Vot does not only\r\nrepresent a single sample point, it represents the underlying function within a region. With the Vots representation\r\nwe have a more intuitive and high-level description of the volume data. This allows direct analytical examination\r\nand manipulation of volumetric datasets. Vots enable the representation of the underlying scalar function with\r\nspecified precision. User-centric importance sampling is also possible, i.e., unimportant volume parts are still\r\npresent but represented with just very few Vots. As proof of concept, we show Maximum Intensity Projection based\r\non Vots.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "grimm-2004-volume-image.jpg", "type": "image/jpeg", "size": 23114, "path": "Publication:grimm-2004-volume", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 160, "drupal_id": 152, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/SörenGrimm", "firstname": "Sören", "lastname": "Grimm", "searchname": "Sören Grimm", "is_teacher": false, "name": "Sören 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"Groeller_2014_UPS", "Groeller_Eduard_2014_THS", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Herghelegiu-2012-BPV", "karimov-2013-vivisection", "karimov-2015-HD", "klein-2016-WCL", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "patel-2010-SVV", "patel-2011-PEA", "Rautek_Peter_2014_VSA", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Ropinski-2012-UBT", "ruiz-2008-OVR", "ruiz-2008-SEV", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "solteszova-2010-MOS", "Solteszova2016", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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Due to excessive pre-computation and memory demanding data structures, most current approaches for volume visualization do not meet the requirements of daily clinical routine. In this diploma thesis, an approach for interactive high-quality rendering of large medical data is presented. It is based on image-order raycasting with object-order data traversal, using an optimized cache coherent memory layout. New techniques and parallelization strategies for direct volume rendering of large data on commodity hardware are presented. 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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Visibility sorting is accomplished by parallel\r\npeeling cells off the grid, utilizing an active cell peeling front. In\r\neach step, we compute the ray-cell intersection coordinates on the\r\nGPU, perform accurate volume integration (CPU), and determine\r\nthe set of active cells for the next iteration (GPU). The approach\r\nrequires only standard graphics capabilities and can therefore be\r\nused on any commodity PC, including laptops. Furthermore, the\r\nmain memory requirements are negligible since the required data\r\nstructures are minimal.\r\nThe main advantage of our algorithm is that we exploit hardware\r\nacceleration for the expensive visibility sorting which is bene-\r\nficial over time due to the faster performance increase of GPUs over\r\nCPUs. Due to the simplicity of the algorithm and its low requirements\r\non preprocessing and main memory, it is well suited for thin\r\nclients. Last but not least, the approach could easily be extended to\r\nirregular grids using tetrahedra.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "GRIMM-2004-PPC-image.jpg", "type": "image/jpeg", "size": 14796, "path": "Publication:GRIMM-2004-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 160, "drupal_id": 152, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/SörenGrimm", "firstname": "Sören", "lastname": "Grimm", "searchname": "Sören Grimm", "is_teacher": false, "name": "Sören Grimm", "publications": [ "bruckner-2005-ICV", "bruckner-2006-ICE", "coto-2005-MAC", "facial2004", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Grimm-thesis", "RAUTEK06", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bruckner-2004-EVV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "hartmann-2005-adv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knapp_michael_2004_MAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "rautek-2005-dvr", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=160", "__class": "Author" }, { "id": 345, "drupal_id": null, "orcid_id": null, "website": "http://www.gris.uni-tuebingen.de/~meissner/", "firstname": "Michael", "lastname": "Meissner", "searchname": "Michael Meissner", "is_teacher": false, "name": "Michael Meissner", "publications": [ "GRIMM-2004-PPC" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=345", "__class": "Author" }, { "id": 162, "drupal_id": 48, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ArminKanitsar", "firstname": "Armin", "lastname": "Kanitsar", "searchname": "Armin Kanitsar", "is_teacher": false, "name": "Armin Kanitsar", "publications": [ "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2008-IVV", "coto-2005-MAC", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "dataset-christmastree", "facial2004", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "haidacher_2010_statTF", "haidacher-2008-vcbm", 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"Kanitsar-2002-CPR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Kanitsar-2003-Adva", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Kanitsar-2003-Dem", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Trenkwalder-2004-MAR", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=162", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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In this paper\r\nthe FVR algorithm is accelerated by factor of 17\r\nby mapping the rendering stage to the GPU. The overall\r\nhardware-accelerated pipeline is discussed and the\r\nchanges according to previous work are pointed out. The\r\nthree-dimensional transformation into frequency domain\r\nis done in a pre-processing step. The rendering step is\r\ncomputed completely on the GPU. First the projection\r\nslice is extracted. Four different interpolation schemes\r\nare used for resampling the slice from the data represented\r\nby a 3D texture. The extracted slice is transformed\r\nback into the spatial domain using the inverse\r\nFast Fourier or Fast Hartley Transform. 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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In the following a new three-dimensional segmentation technique exploiting the contour\r\ndetection capabilities of live-wire is proposed. The algorithm consists of two basic steps. First contours are\r\noutlined by the user on a small number of planar cross-sections through the object using live-wire. Second the\r\ntraced contours are used for reconstructing the object surface automatically in each slice using live-wire again.\r\nThis user-friendly segmentation algorithm is independent from object topology as the topology is implicitly\r\ndefined during the reconstruction process.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "knapp-2004-semi-.pdf", "type": "application/pdf", "size": 6051784, "path": "Publication:knapp-2004-semi", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 172, "drupal_id": 50, "orcid_id": null, "website": 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"url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=166", "__class": "Author" } ], "booktitle": "Journal of WSCG, Vol. 12, Number 2", "isbn": "1213-6972", "issn": "1213-6972", "journal": "Journal of WSCG", "lecturer": [ { "id": 172, "drupal_id": 50, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MichaelKnapp", "firstname": "Michael", "lastname": "Knapp", "searchname": "Michael Knapp", "is_teacher": false, "name": "Michael Knapp", "publications": [ "kanitsar-2002-Chr", "knapp_michael_2004_MAS", "Knapp-2003-SAT", "knapp-2004-fic", "knapp-2004-semi" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "knapp-2004-semi", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=172", "__class": "Author" } ], "number": "2", "pages_from": "229", "pages_to": "236", "volume": "12", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "knapp-2004-semi-.pdf", "type": "application/pdf", "size": 6051784, "path": "Publication:knapp-2004-semi", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ADAPT", "workgroup_id": "vis", "drupal_id": 4263, "drupal_path": "/research/projects/ADAPT", "name": "ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/", "__class": "Publication" }, { "id": "Kanitsar-2004-Dia", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Diagnostic Relevant Visualization of Vascular Structures", "date": "2004-01", "abstract": "Traditional volume visualization techniques sometimes provide incomplete\r\nclinical information needed for applications in medical visualization.\r\nIn the area of vascular visualization important features such as the lumen of a\r\ndiseased vessel segment may not be visible. One way to display vascular structures\r\nfor diagnostic purposes is to generate longitudinal cross-sections in order to\r\nshow their lumen, wall, and surrounding tissue in a curved plane. Curved planar\r\nreformation (CPR) has proven to be an acceptable practical solution. We discuss\r\nfour different methods to generate CPR images from single vessel segments: Projected\r\nCPR, stretched CPR, straightened CPR, and helical CPR. Furthermore we\r\ninvestigate three different methods for displaying vascular trees: Multi-path projected\r\nCPR, multi-path stretched CPR, and untangled CPR. The principle concept\r\nof each method is discussed and detailed information for the realization is given.\r\n In addition the properties, advantages and disadvantages of each method are summarized.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 470, "name": "Kanitsar-2004-Dia-image.jpg", "type": "image/jpeg", "size": 39068, "path": "Publication:Kanitsar-2004-Dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 162, "drupal_id": 48, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ArminKanitsar", "firstname": "Armin", "lastname": "Kanitsar", "searchname": "Armin Kanitsar", "is_teacher": false, "name": "Armin Kanitsar", "publications": [ "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2008-IVV", "coto-2005-MAC", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "dataset-christmastree", "facial2004", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "haidacher_2010_statTF", "haidacher-2008-vcbm", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-Chri", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "Knapp-2003-SAT", "knapp-2004-semi", "Koechl-2003-Com", "Kohlmann-2007-EBV", 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"__class": "Author" }, { "id": 164, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Dominik", "lastname": "Fleischmann", "searchname": "Dominik Fleischmann", "is_teacher": false, "name": "Dominik Fleischmann", "publications": [ "alacruzECR2004", "groeller-2005-dia", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Koechl-2003-Com", "LaCruz-2004-NMF", "LaCruz2004", "Mistelbauer_Gabriel_2016", "mistelbauer-2012-cr", "roos-2007-mcp", "Straka-2003-3DW", "Straka-2003-Apr", "Straka-2003-Bon", "Straka-2003-CTA", "Straka-2004-BSA", "Straka-2004-TVG", "StrakaVis2004" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=164", "__class": "Author" }, { "id": 165, 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"Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "LaCruz-2004-NMF", "LaCruz2004", "lanzarotti-2025-viseps", "lee-2022-p", "Loeffelmann-1994-PSQ", "loeffelmann-1995-para", "Loeffelmann-1995-RTE", "loeffelmann-1996-CVA", "Loeffelmann-1996-DS3", "loeffelmann-1996-SVM", "Loeffelmann-1997-FV2", "Loeffelmann-1997-HSV", "Loeffelmann-1997-VPM", "Loeffelmann-1998-Enh", "Loeffelmann-1998-EVC", "Loeffelmann-1998-SMURF", "Loeffelmann-1998-VDS", "Loeffelmann-1998-Vis", "Loeffelmann-1998-Visu", "Loeffelmann-1999-SMU", "malik-2007-FP", "malik-2009-CVFA", "malik-2010-cvp", "manylands_award", "Matkovic-2002-Pro", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Meinhart-1998-Tun", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Milik-1997-GMMO", "Milik-1998-Geo", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mindek-2017-marion", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Morar_2012_ISB", "Mroz-1998-Bri", "Mroz-1998-Sel", "Mroz-1998-SelX", "Mroz-1999-Adv", "Mroz-1999-IHQ", "Mroz-1999-MIP", "Mroz-1999-Real", "Mroz-1999-ReaX", "Mroz-2000-Int", "Mroz-2000-Mas", "Mroz-2000-MasX", "Mroz-2000-Rea", "Muigg_2011_VC", "muigg-2011-gpg", "musleh-2023-ugi", "Neumann-2000-Gra", "Neumann-2002-Fea", "oda-2025-artevoviewer", "ortner-2016-tunnel", "ortner-2016-visaware", "Ortner2020", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-kav", "patel-2010-SVV", "patel-2011-PEA", "Peter_2012_AIV", "piringer-2009-hds", "PMI_AR_2012", "preim-2009-sve", "purgathofer-1988-using", "Purgathofer-1994-CPI", "Purgathofer-1999-Gra", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_slicedice", "raidou_visgap2020", "raidou2018visualflatter", "raidou2019_prsps", "rauer-zechmeister-2024-h3p", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Rautek06Vis", "Red_Andreas_2015_FFT", "reh-2013", "reh-2015-areh", "reina-2020-mtv", "Reiter_2009_IXIA", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "roos-2007-mcp", "Ropinski-2012-UBT", "rsabin-2013", "Sarkis_2021", "Sbardellati-2019-vcbm", 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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This\r\npaper presents hardware-based implementations of various nonlinear\r\nfilters for volume smoothing with edge preservation. The\r\nCg high-level shading language is used in combination with latest\r\nPC consumer graphics hardware. Filtering is divided into pervertex\r\nand per-fragment stages. In both stages we propose techniques\r\nto increase the filtering performance. The vertex program\r\npre-computes texture coordinates in order to address all contributing\r\ninput samples of the operator mask. Thus additional computations\r\nare avoided in the fragment program. The presented fragment\r\nprograms preserve cache coherence, exploit 4D vector arithmetic,\r\nand internal fixed point arithmetic to increase performance. We\r\nshow the applicability of non-linear filters as part of a GPU-based\r\nsegmentation pipeline. The resulting binary mask is compressed\r\nand decompressed in the graphics memory on-the-fly.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 188, "name": "Viola-2003-Har-image.jpg", "type": "image/jpeg", "size": 8841, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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Turk, J. van Wijk, K. Moorhead", "isbn": "0780381203", "lecturer": [ { "id": 162, "drupal_id": 48, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ArminKanitsar", "firstname": "Armin", "lastname": "Kanitsar", "searchname": "Armin Kanitsar", "is_teacher": false, "name": "Armin Kanitsar", "publications": [ "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2008-IVV", "coto-2005-MAC", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "dataset-christmastree", "facial2004", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "haidacher_2010_statTF", "haidacher-2008-vcbm", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-Chri", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "Knapp-2003-SAT", "knapp-2004-semi", "Koechl-2003-Com", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "mistelbauer-2013-cfa", "roos-2007-mcp", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-06-04", "TR-186-2-07-11", "TR-186-2-08-01", "TR-186-2-08-04", "TR-186-2-08-10", "TR-186-2-08-14", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "Wallisch-2002-INF", "xmas-2001", "xmastree2002", "xmastree2005" ], "publications_first": [], "project_leader": [ "ADAPT" ], "publication_field": [ { "publ_id": "Kanitsar-2002-CPR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Kanitsar-2003-Adva", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Kanitsar-2003-Dem", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Trenkwalder-2004-MAR", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=162", "__class": "Author" } ], "publisher": "IEEE", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "ADAPT", "workgroup_id": "vis", "drupal_id": 4263, "drupal_path": "/research/projects/ADAPT", "name": "ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Adva/", "__class": "Publication" }, { "id": "Csebfalvi-2002-SBICG", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Smooth Shape-Based Interpolation using the Conjugate Gradient Method", "date": "2002-08", "abstract": "In this paper a novel technique for smooth shape-based interpolation of volume data\r\nis introduced.\r\nPreviously simple linear interpolation of signed\r\ndistance maps has been used in practice. As it will be shown, this approach\r\nresults in artifacts, since sharp edges appear along the original slices.\r\nIn order to obtain a smooth 3D implicit function generated\r\nby interpolating 2D distance maps, we use a global interpolation method instead of a\r\nhigher order local technique. The global curvature of the implicit function representing\r\nan isosurface is minimized using an iterative conjugate gradient method.\r\nBecause of the iterative approach the user can easily control the trade-off between\r\nthe smoothness of the isosurface and the computational cost of the refinement.\r\nAs opposed to previous techniques, like variational interpolation, our method can\r\ngenerate a reasonably good approximation of the ideal solution in a significantly\r\n shorter time.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 233, "drupal_id": 337, "orcid_id": "0000-0003-4843-226X", "website": "https://www.cg.tuwien.ac.at/staff/BalázsCsébfalvi", "firstname": "Balázs", "lastname": "Csébfalvi", "searchname": "Balázs Csébfalvi", "is_teacher": false, "name": "Balázs Csébfalvi", "publications": [ "Csebfalvi-1998-AnI", "Csebfalvi-1999-BSW", "Csebfalvi-1999-Fas", 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], "number": "TR-186-2-02-10", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "shape-based interpolation", "conjugate gradient method", "volume rendering" ], "weblinks": [], "files": [ { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Csebfalvi-2002-SBICG-paper.gz", "type": "application/octet-stream", "size": 953100, "path": "Publication:Csebfalvi-2002-SBICG", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-SBICG/Csebfalvi-2002-SBICG-paper.gz", "thumb_image_sizes": [] } ], "projects_workgroups": [ { "id": "ADAPT", "workgroup_id": "vis", "drupal_id": 4263, "drupal_path": "/research/projects/ADAPT", "name": "ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "start_date": "2001-11-01", "end_date": "2007-12-31", "leader_id": 162, "logo": { "name": "logo.png", "path": "project:ADAPT", "type": "image/png", "size": 5678, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": null, "comment": null } ], "research_areas": [], "publications": [ "bruckner-2004-EVV", "bruckner-2005-ICV", "coto-2005-MAC", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "facial2004", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "groeller-2005-dia", "Hladuvka-2002-Exp", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "knapp_michael_2004_MAS", "knapp-2004-semi", "Neumann-2002-Fea", "phd-viola", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "vessel2003", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "xmastree2002" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ADAPT", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-SBICG/", "__class": "Publication" }, { "id": "Neumann-2002-Fea", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Feature-Preserving Volume Filtering", "date": "2002-05", "abstract": "In this paper a feature-preserving volume filtering method is presented. The basic idea is to minimize a three-component global error function penalizing the density and gradient errors and the curvature of the unknown filtered function. The optimization problem leads to a large linear equation system defined by a sparse coefficient matrix. We will show that such an equation system can be efficiently solved in frequency domain using fast Fourier transformation (FFT). For the sake of clarity, first we illustrate our method on a 2D example which is a dedithering problem. Afterwards the 3D extension is discussed in detail since we propose our method mainly for volume filtering. We will show that the 3D version can be efficiently used for elimination of the typical staircase artifacts of direct volume rendering without losing fine details. Unlike local filtering techniques, our novel approach ensures a global smoothing effect. Previous global 3D methods are restricted to binary volumes or segmented iso-surfaces and they are based on area minimization of one single reconstructed surface. In contrast, our method is a general volume-filtering technique, implicitly smoothing all the iso-surfaces at the same time. Although the strength of the presented algorithm is demonstrated on a specific 2D and a specific 3D application, it is considered as a general mathematical tool for processing images and volumes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 718, "image_height": 717, "name": "Neumann-2002-Fea-image.jpg", "type": "image/jpeg", "size": 96628, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 177, "drupal_id": 172, "orcid_id": "0000-0002-9730-7193", "website": 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"Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csebfalvi-thesis", "Fuhr-1999-Multi", "kanitsar-2002-Chr", "Neumann-2000-Gra", "Neumann-2002-Fea", "Rautek_Peter_2014_TUC", "RAUTEK06", "Szirmay-1998-Imp", "Szirmay-1999-Imp", "TR-186-2-05-03", "Vad_Viktor_2015_RVV" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Csebfalvi-2002-Smo", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Csebfalvi-2012-IOM", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=233", "__class": "Author" }, { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, "name": "Ivan Viola", 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"Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", 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"Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "LaCruz-2004-NMF", "LaCruz2004", "lanzarotti-2025-viseps", "lee-2022-p", "Loeffelmann-1994-PSQ", "loeffelmann-1995-para", 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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

\r\n", "abstract": "

A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.

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