[ { "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": [ 486, 160, 161, 166, 162, 487 ], "booktitle": "Proceedings of Vision, Modelling, and Visualization 2005", "date_from": "2005-11-16", "date_to": "2005-11-18", "editor": "G. Greiner, J. Hornegger, H. Niemann, M. Stamminger", "isbn": "3898380688", "lecturer": [ 486 ], "location": "Erlangen, Germany", "pages_from": "91", "pages_to": "98", "research_areas": [], "keywords": [ "CAD", "Breast cancer", "Contrast Enhanced MRI" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Demonstration", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 1024, "name": "coto-2005-MAC-Demonstration.avi", "type": "video/x-msvideo", "size": 50733574, "path": "Publication:coto-2005-MAC", "preview_name": "coto-2005-MAC-Demonstration:preview.png", "preview_type": "image/jpeg", "preview_size": 193123, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Demonstration.avi", "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-Demonstration:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Demonstration:video.mp4" }, { "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" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "coto-2005-MAC-Paper.pdf", "type": "application/pdf", "size": 3649357, "path": "Publication:coto-2005-MAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Paper.pdf", "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-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/", "__class": "Publication" }, { "id": "phd-viola", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005-06", "abstract": "In this thesis several expressive visualization techniques for volumetric\r\ndata are presented. 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": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_end": "2005-06", "date_start": "2002-05", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Defense Presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "phd-viola-Defense Presentation.pdf", "type": "application/pdf", "size": 1259949, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation:thumb{{size}}.png" }, { "description": "", "filetitle": "Dissertation (print version)", "main_file": false, "use_in_gallery": false, "access": "public", "name": "phd-viola-Dissertation (print version).pdf", "type": "application/pdf", "size": 61930541, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version).pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version):thumb{{size}}.png" }, { "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": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png" }, { "description": "", "filetitle": "pdf (screen version)", "main_file": true, "use_in_gallery": false, "access": "public", "name": "phd-viola-pdf (screen version).pdf", "type": "application/pdf", "size": 9650433, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version).pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version):thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/", "__class": "Publication" }, { "id": "bruckner-2005-ICV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Context-Preserving Volume Rendering", "date": "2005-05", "abstract": "In volume rendering it is very difficult to simultaneously visualize interior and exterior structures while preserving clear shape cues. Very transparent transfer functions produce cluttered images with many overlapping structures, while clipping techniques completely remove possibly important context information. In this paper we present a new model for volume rendering, inspired by techniques from illustration that provides a means of interactively inspecting the interior of a volumetric data set in a feature-driven way which retains context information. The context-preserving volume rendering model uses a function of shading intensity, gradient magnitude, distance to the eye point, and previously accumulated opacity to selectively reduce the opacity in less important data regions. It is controlled by two user-specified parameters. This new method represents an alternative to conventional clipping techniques, shares their easy and intuitive user control, but does not suffer from the drawback of missing context information. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2048, "image_height": 2048, "name": "bruckner-2005-ICV-image.jpg", "type": "image/jpeg", "size": 346710, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 160, 162, 166 ], "booktitle": "Proceedings of EuroVis 2005", "lecturer": [ 161 ], "pages_from": "69", "pages_to": "76", "research_areas": [ "IllVis" ], "keywords": [ "non-photorealistic techniques", "focus+context techniques", "volume rendering" ], "weblinks": [], "files": [ { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "Hand - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Hand - DivX.avi", "type": "video/x-msvideo", "size": 2492416, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Hand - DivX:preview.png", "preview_type": "image/png", "preview_size": 16073, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "Hand - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Hand - Indeo.avi", "type": "video/x-msvideo", "size": 44419072, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Hand - Indeo:preview.png", "preview_type": "image/png", "preview_size": 16059, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human head", "filetitle": "Head - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Head - DivX.avi", "type": "video/x-msvideo", "size": 3397120, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Head - DivX:preview.png", "preview_type": "image/png", "preview_size": 11598, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human head", "filetitle": "Head - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Head - Indeo.avi", "type": "video/x-msvideo", "size": 33721856, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Head - Indeo:preview.png", "preview_type": "image/png", "preview_size": 11647, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2048, "image_height": 2048, "name": "bruckner-2005-ICV-image.jpg", "type": "image/jpeg", "size": 346710, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image:thumb{{size}}.png" }, { "description": "Paper", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2005-ICV-Paper.pdf", "type": "application/pdf", "size": 4121772, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Paper:thumb{{size}}.png" }, { "description": "powerpoint slides of EuroVis 2005 presentation", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2005-ICV-Slides.zip", "type": "application/x-zip", "size": 56685751, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Slides.zip", "thumb_image_sizes": [] }, { "description": "comparison of Context-Preserving Volume Rendering with other techniques", "filetitle": "Tooth - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Tooth - DivX.avi", "type": "video/x-msvideo", "size": 892928, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Tooth - DivX:preview.png", "preview_type": "image/png", "preview_size": 13861, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX:video.mp4" }, { "description": "comparison of Context-Preserving Volume Rendering with other techniques", "filetitle": "Tooth - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Tooth - Indeo.avi", "type": "video/x-msvideo", "size": 17240576, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Tooth - Indeo:preview.png", "preview_type": "image/png", "preview_size": 13603, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo:video.mp4" }, { "description": "Context-Preserving Volume Rendering of the Visible Human dataset", "filetitle": "Visible Human - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Visible Human - DivX.avi", "type": "video/x-msvideo", "size": 3676160, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Visible Human - DivX:preview.png", "preview_type": "image/png", "preview_size": 17703, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX:video.mp4" }, { "description": "Context-Preserving Volume Rendering of the Visible Human dataset", "filetitle": "Visible Human - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Visible Human - Indeo.avi", "type": "video/x-msvideo", "size": 67943936, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Visible Human - Indeo:preview.png", "preview_type": "image/png", "preview_size": 17814, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo:video.mp4" } ], "projects_workgroups": [ "ADAPT" ], "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": [ 162, 164, 165, 166 ], "booktitle": "Scientific Visualization: The Visual Extraction of Knowledge from Data", "editor": "G.-P. Bonneau, T. Ertl, G.M. Nielson", "isbn": "3540260668", "pages_from": "207", "pages_to": "228", "publisher": "Springer Verlag, Berlin", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "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" }, { "description": "", "filetitle": "PDF", "main_file": true, "use_in_gallery": false, "access": "public", "name": "groeller-2005-dia-PDF.pdf", "type": "application/pdf", "size": 3000619, "path": "Publication:groeller-2005-dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-PDF.pdf", "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-PDF:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "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": [ 171, 162, 166 ], "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": [ "ADAPT" ], "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": [ 172 ], "supervisor": [ 160 ], "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": [ "ADAPT" ], "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": [ 171, 162, 166 ], "booktitle": "Proceedings of IEEE Visualization 2004", "isbn": "0780387880", "pages_from": "139", "pages_to": "145", "publisher": "H. Rushmeier, G. Turk, J. van Wijk", "research_areas": [], "keywords": [ "view-dependent visualization", "non-photorealistic techniques", "level-of-detail techniques", "focus+context techniques", "volume rendering" ], "weblinks": [], "files": [ { "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" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2004-ImpX2-Paper.pdf", "type": "application/pdf", "size": 10556380, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-Paper.pdf", "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-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/", "__class": "Publication" }, { "id": "GRIMM-2004-FDMX-P", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Flexible Direct Multi-Volume Rendering in Interactive Scenes", "date": "2004-10", "abstract": "In this paper we describe methods to efficiently visualize multiple ntersecting volumetric objects. We introduce the concept of V-Objects. V-Objects represent abstract properties of an object connected to a volumetric data source. We present a method to perform direct volume rendering of a scene comprised of an arbitrary number of possibly intersecting V-Objects. The idea of our approach is to distinguish between regions of intersection, which need costly multi-volume processing, and regions containing only one V-Object, which can be processed using a highly efficient brick-wise volume traversal scheme. Using this method, we achieve significant performance gains for multi-volume rendering. We show possible medical applications, such as surgical planning, diagnosis, and education.", "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-FDMX-P-image.jpg", "type": "image/jpeg", "size": 30770, "path": "Publication:GRIMM-2004-FDMX-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 160, 161, 162, 166 ], "booktitle": "Vision, Modeling, and Visualization (VMV)", "location": "Stanford, USA", "pages_from": "386", "pages_to": "379", "research_areas": [], "keywords": [ "multi volume rendering", "medical visualization", "volume raycasting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "GRIMM-2004-FDMX-P-image.jpg", "type": "image/jpeg", "size": 30770, "path": "Publication:GRIMM-2004-FDMX-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GRIMM-2004-FDMX-P-Paper.pdf", "type": "application/pdf", "size": 1785611, "path": "Publication:GRIMM-2004-FDMX-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/", "__class": "Publication" }, { "id": "grimm-2004-arefined", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Refined Data Addressing and Processing Scheme to Accelerate Volume Raycasting", "date": "2004-10", "abstract": "Most volume rendering systems based on CPU volume raycasting still suffer from inefficient CPU utilization and high memory usage. 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": [ 160, 161, 162, 166 ], "booktitle": "Computer & Graphics, Vol. 28 (5)", "isbn": "0097-8493", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "pages_from": "719", "pages_to": "729", "volume": "28", "research_areas": [], "keywords": [ "Volume Raycasting, Bricking, Parallel Co" ], "weblinks": [], "files": [ { "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" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grimm-2004-arefined-Paper.pdf", "type": "application/pdf", "size": 292031, "path": "Publication:grimm-2004-arefined", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-Paper.pdf", "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-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/", "__class": "Publication" }, { "id": "grimm-2004-memory", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Memory Efficient Acceleration Structures and Techniques for CPU-based Volume Raycasting of Large Data", "date": "2004-10", "abstract": "Most CPU-based volume raycasting approaches achieve high performance by advanced memory layouts, space subdivision, and excessive pre-computing. 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%. ", "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-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" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 160, 161, 162, 166 ], "booktitle": "Proceedings IEEE/SIGGRAPH Symposium on Volume Visualization and Graphics", "editor": "D. 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": [ "ADAPT" ], "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": [ 160, 161, 162, 166 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "3", "pages_from": "668", "pages_to": "661", "volume": "23", "research_areas": [], "keywords": [ "Graphics Data Structures and Data Types" ], "weblinks": [], "files": [ { "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" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grimm-2004-volume-Paper.pdf", "type": "application/pdf", "size": 2257047, "path": "Publication:grimm-2004-volume", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-Paper.pdf", "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-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/", "__class": "Publication" }, { "id": "bruckner-2004-EVV", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Efficient Volume Visualization of Large Medical Datasets", "date": "2004-05", "abstract": "The size of volumetric datasets used in medical environments is increasing at a rapid pace. 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. By using new memory efficient acceleration data structures, high-quality direct volume rendering of several hundred megabyte sized datasets at sub-second frame rates on a commodity notebook is achieved.", "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": 300, "name": "bruckner-2004-EVV-image.jpg", "type": "image/jpeg", "size": 18530, "path": "Publication:bruckner-2004-EVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161 ], "supervisor": [ 160 ], "research_areas": [], "keywords": [ "volume rendering", "large data" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 300, "name": "bruckner-2004-EVV-image.jpg", "type": "image/jpeg", "size": 18530, "path": "Publication:bruckner-2004-EVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Short Version", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2004-EVV-Short Version.pdf", "type": "application/pdf", "size": 1527888, "path": "Publication:bruckner-2004-EVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Short Version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Short Version:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2004-EVV-Thesis.pdf", "type": "application/pdf", "size": 4819243, "path": "Publication:bruckner-2004-EVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/", "__class": "Publication" }, { "id": "GRIMM-2004-PPC", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Parallel Peeling of Curvilinear Grids", "date": "2004-04", "abstract": "In this paper we present a novel hybrid CPU-GPU approach for rendering\r\ncurvilinear grids. 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": [ 160, 345, 162, 166 ], "number": "TR-186-2-04-07", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "Raycasting", "Volume Rendering", "Visibility Sorting", "Curvilinear grids", "Depth Sorting" ], "weblinks": [], "files": [ { "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" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GRIMM-2004-PPC-Paper.pdf", "type": "application/pdf", "size": 3432004, "path": "Publication:GRIMM-2004-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-Paper.pdf", "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-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/", "__class": "Publication" }, { "id": "Viola-2004-GPU", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "GPU-based Frequency Domain Volume Rendering", "date": "2004-04", "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other techniques. 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. The rendering\r\nstage is implemented through shader programs running\r\non programmable graphics hardware achieving highly interactive\r\nframerates.", "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": 200, "name": "Viola-2004-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "booktitle": "Proceedings of SCCG 2004", "isbn": "80-223-1730-6", "note": "second-best paper award!", "pages_from": "49", "pages_to": "58", "research_areas": [], "keywords": [ "Fourier Transform", "Fourier Volume Rendering", "Hardware Acceleration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 200, "name": "Viola-2004-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2004-GPU-Paper.pdf", "type": "application/pdf", "size": 1225586, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/", "__class": "Publication" }, { "id": "knapp-2004-semi", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Semi-Automatic Topology Independent Contour-Based 2 1/2 D Segmentation Using Live-Wire", "date": "2004-02", "abstract": "In general three-dimensional segmentation algorithms assume objects to have connected homogeneous regions.\r\nHowever in some cases objects are defined by a fuzzy boundary surface and consist of an inhomogeneous\r\ninternal structure. 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": [ 172, 162, 166 ], "booktitle": "Journal of WSCG, Vol. 12, Number 2", "isbn": "1213-6972", "issn": "1213-6972", "journal": "Journal of WSCG", "lecturer": [ 172 ], "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": [ "ADAPT" ], "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": [ 162, 164, 165, 166 ], "number": "TR-186-2-04-02", "pages_from": "1", "pages_to": "20", "research_areas": [], "keywords": [ "curved planar reformation", "computed tomography angiography", "vessel analysis" ], "weblinks": [], "files": [ { "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" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kanitsar-2004-Dia-paper.pdf", "type": "application/pdf", "size": 2996860, "path": "Publication:Kanitsar-2004-Dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-paper.pdf", "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-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/", "__class": "Publication" }, { "id": "viola-2004-idv", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Volume Rendering", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2004-10-13", "event": "IDVR", "location": "Austin, USA", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "data", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2004-idv-data.zip", "type": "application/x-zip", "size": 17304308, "path": "Publication:viola-2004-idv", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/viola-2004-idv-data.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/", "__class": "Publication" }, { "id": "Kanitsar-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Curved Planar Reformation for Vessel Visualization", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 424, "image_height": 330, "name": "Kanitsar-thesis-image.jpg", "type": "image/jpeg", "size": 49132, "path": "Publication:Kanitsar-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162 ], "date_end": "2004-01", "date_start": "2001-03", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 424, "image_height": 330, "name": "Kanitsar-thesis-image.jpg", "type": "image/jpeg", "size": 49132, "path": "Publication:Kanitsar-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kanitsar-thesis-pdf.pdf", "type": "application/pdf", "size": 14168623, "path": "Publication:Kanitsar-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/", "__class": "Publication" }, { "id": "Viola-2003-Har", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages.", "date": "2003-10", "abstract": "Non-linear filtering is an important task for volume analysis. 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": [ 171, 162, 166 ], "booktitle": "Proceedings of IEEE Visualization 2003", "editor": "G. Turk, J. van Wijk, K. Moorhead", "isbn": "0780381203", "pages_from": "309", "pages_to": "316", "publisher": "IEEE", "research_areas": [], "keywords": [ "Hardware Acceleration", "Segmentation", "Non-linear Filtering" ], "weblinks": [], "files": [ { "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" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2003-Har-Paper.pdf", "type": "application/pdf", "size": 325326, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-Paper.pdf", "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-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/", "__class": "Publication" }, { "id": "Kanitsar-2003-Dem", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Demonstration of different segmentation and visualization techniques by means of a complex real world object exemplified by a Christmas tree", "date": "2003", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 164, 175, 184, 170, 166 ], "booktitle": "European Congress of Radiology", "lecturer": [ 162 ], "publisher": "ECR", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "PDF", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kanitsar-2003-Dem-PDF.pdf", "type": "application/pdf", "size": 10369, "path": "Publication:Kanitsar-2003-Dem", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/Kanitsar-2003-Dem-PDF.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/Kanitsar-2003-Dem-PDF:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/", "__class": "Publication" }, { "id": "Kanitsar-2003-Adva", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Advanced Curved Planar Reformation: Flattering of Vascular Structures", "date": "2003", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 165, 164, 166 ], "booktitle": "Proceedings of IEEE Visualization", "editor": "G. Turk, J. van Wijk, K. Moorhead", "isbn": "0780381203", "lecturer": [ 162 ], "publisher": "IEEE", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ADAPT" ], "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": [ 233, 177, 162, 166 ], "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": [ "ADAPT" ], "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": [ 177, 233, 171, 179, 166 ], "booktitle": "Data Visualization 2002", "pages_from": "105", "pages_to": "114", "publisher": "ACM", "research_areas": [], "keywords": [ "antialiasing, noise filtering", "derivative and gradient estimation", "feature-preserving smoothing", "direct volume rendering" ], "weblinks": [], "files": [ { "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" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Neumann-2002-Fea-Paper.pdf", "type": "application/pdf", "size": 835899, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-Paper.pdf", "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-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/", "__class": "Publication" }, { "id": "Kanitsar-2002-CPR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "CPR- Curved Planar Reformation", "date": "2002", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 164, 165, 189, 166 ], "booktitle": "IEEE Visualization 2002", "lecturer": [ 162 ], "publisher": "IEEE Computer Society Press", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Kanitsar-2002-CPR/", "__class": "Publication" }, { "id": "Csebfalvi-2002-Smo", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Smooth Shape-Based Interpolation using the Conjugate Gradient Method", "date": "2002", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 233, 177, 162, 166 ], "booktitle": "Vision, Modeling, and Visualization 2002", "lecturer": [ 233 ], "publisher": "Akademische Verlagsgesellschaft Aka GmbH, Berlin", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-Smo/", "__class": "Publication" }, { "id": "Hladuvka-2002-Exp", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploiting the Hessian matrix for content-based retrieval of volume-data features", "date": "2002", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 187, 166 ], "journal": "Visual Computer", "number": "4", "pages_from": "207", "pages_to": "217", "volume": "18", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hladuvka-2002-Exp/", "__class": "Publication" } ]