[ { "id": "furmanova-2024-bvp", "type_id": "book", "tu_id": null, "repositum_id": "20.500.12708/204500", "title": "BioMedical Visualization : Past Work, Current Trends, and Open Challenges", "date": "2024-10-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5406, 1248, 1819, 166, 563, 1410 ], "doi": "10.1007/978-3-031-66789-3", "isbn": "978-3-031-66788-6", "pages": "159", "publisher": "Springer Nature", "research_areas": [], "keywords": [ "biomedical visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/furmanova-2024-bvp/", "__class": "Publication" }, { "id": "preim-2023-vva", "type_id": "book", "tu_id": null, "repositum_id": "20.500.12708/192952", "title": "Visualization, Visual Analytics and Virtual Reality in Medicine : State-Of-the-art Techniques and Applications", "date": "2023", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 563, 1410, 5320, 1544 ], "isbn": "9780128229620", "pages": "554", "publisher": "Elsevier", "research_areas": [], "keywords": [ "medical visualization", "virtual reality" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/preim-2023-vva/", "__class": "Publication" }, { "id": "lee-2022-p", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/175618", "title": "Preface", "date": "2022-01-01", "abstract": "This February 2022 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG) contains the proceedings of IEEE VIS 2021, held online on October 24-29, 2021, with General Chairs from Tulane University and Universidade de Sao Paulo. With IEEE VIS 2021, the conference series is in its 32nd year.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1453, 966, 1186, 5243, 5244, 5245, 5246, 5247, 166, 1476, 563, 5248, 5249, 5250, 5251, 1527, 5252, 5253 ], "doi": "10.1109/TVCG.2021.3114891", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "1", "pages": "10", "pages_from": "xiv", "pages_to": "xxiii", "publisher": "Institute of Electrical and Electronics Engineers (IEEE)", "volume": "28", "research_areas": [], "keywords": [ "visualization", "visual analytics" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lee-2022-p/", "__class": "Publication" }, { "id": "Gillmann2021", "type_id": "journalpaper_notalk", "tu_id": 300370, "repositum_id": "20.500.12708/138579", "title": "Ten Open Challenges in Medical Visualization ", "date": "2021-10", "abstract": "The medical domain has been an inspiring application area in visualization research for many years already, but many open challenges remain. The driving forces of medical visualization research have been strengthened by novel developments, for example, in deep learning, the advent of affordable VR technology, and the need to provide medical visualizations for broader audiences. At IEEE VIS 2020, we hosted an Application Spotlight session to highlight recent medical visualization research topics. With this article, we provide the visualization community with ten such open challenges, primarily focused on challenges related to the visualization of medical imaging data. We first describe the unique nature of medical data in terms of data preparation, access, and standardization. Subsequently, we cover open visualization research challenges related to uncertainty, multimodal and multiscale approaches, and evaluation. Finally, we emphasize challenges related to users focusing on explainable AI, immersive visualization, P4 medicine, and narrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 607, "image_height": 528, "name": "Gillmann2021-Image.JPG", "type": "image/jpeg", "size": 52995, "path": "Publication:Gillmann2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1897, 1694, 166, 563, 459, 1898 ], "doi": "10.1109/MCG.2021.3094858", "first_published": "2021-10-01", "journal": "IEEE Computer Graphics and Applications", "number": "5", "open_access": "yes", "pages_from": "7", "pages_to": "15", "volume": "41", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gillmann2021-.pdf", "type": "application/pdf", "size": 1220006, "path": "Publication:Gillmann2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 607, "image_height": 528, "name": "Gillmann2021-Image.JPG", "type": "image/jpeg", "size": 52995, "path": "Publication:Gillmann2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/", "__class": "Publication" }, { "id": "raidou_2020Onc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141410", "title": "Principles of Visualization in Radiation Oncology", "date": "2020-01-15", "abstract": "Background: Medical visualization employs elements from computer graphics to create meaningful, interactive visual representations of medical data, and it has become an influential field of research for many advanced applications like radiation oncology, among others. Visual representations employ the user’s cognitive capabilities to support and accelerate diagnostic, planning, and quality assurance workflows based on involved patient data. Summary: This article discusses the basic underlying principles of visualization in the application domain of radiation oncology. The main visualization strategies, such as slice-based representations and surface and volume rendering are presented. Interaction topics, i.e., the combination of visualization and automated analysis methods, are also discussed. Key Messages: Slice-based representations are a common approach in radiation oncology, while volume visualization also has a long-standing history in the field. Perception within both representations can benefit further from advanced approaches, such as image fusion and multivolume or hybrid rendering. While traditional slice-based and volume representations keep evolving, the dimensionality and complexity of medical data are also increasing. To address this, visual analytics strategies are valuable, particularly for cohort or uncertainty visualization. Interactive visual analytics approaches represent a new opportunity to integrate knowledgeable experts and their cognitive abilities in exploratory processes which cannot be conducted by solely automatized methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1651, 563, 231, 1410 ], "doi": "https://doi.org/10.1159/000504940", "journal": "Oncology and Informatics", "open_access": "yes", "pages_from": "1", "pages_to": "11", "volume": "1", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_2020Onc-paper.pdf", "type": "application/pdf", "size": 900790, "path": "Publication:raidou_2020Onc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/raidou_2020Onc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/raidou_2020Onc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/", "__class": "Publication" }, { "id": "raidou_star2019", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "State-of-the-Art Report: Visual Computing in Radiation Therapy Planning", "date": "2019-06", "abstract": "Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex and risky treatment approach, which\nrequires precise planning, prior to the administration of the treatment. Visual Computing (VC) is a fundamental component of\nRT planning, providing solutions in all parts of the process—from imaging to delivery. Despite the significant technological\nadvancements of RT over the last decades, there are still many challenges to address. This survey provides an overview of\nthe compound planning process of RT, and of the ways that VC has supported RT in all its facets. The RT planning process\nis described to enable a basic understanding in the involved data, users and workflow steps. A systematic categorization and\nan extensive analysis of existing literature in the joint VC/RT research is presented, covering the entire planning process. The\nsurvey concludes with a discussion on lessons learnt, current status, open challenges, and future directions in VC/RT research.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "raidou_star2019-.pdf", "type": "application/pdf", "size": 8627472, "path": "Publication:raidou_star2019", "preview_name": "raidou_star2019-:preview.pdf", "preview_type": "application/pdf", "preview_size": 295636, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1651, 1410, 1445, 563, 231 ], "cfp": { "name": "Eurovis 2019.pdf", "type": "application/pdf", "error": "0", "size": "81765", "orig_name": "Eurovis 2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "event": "EuroVis 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1410 ], "number": "38", "pages_from": "753", "pages_to": "779", "volume": "3", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "raidou_star2019-.pdf", "type": "application/pdf", "size": 8627472, "path": "Publication:raidou_star2019", "preview_name": "raidou_star2019-:preview.pdf", "preview_type": "application/pdf", "preview_size": 295636, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/", "__class": "Publication" }, { "id": "lawonn-2018-illvisstar", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Survey of Surface-Based Illustrative Rendering for Visualization", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1544, 171, 563, 960 ], "doi": "10.1111/cgf.13322", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "NN", "open_access": "no", "pages": "n/a–n/a", "research_areas": [ "IllVis" ], "keywords": [ "scientific visualization", "visualization", "Categories and SubjectDescriptors (according to ACM CCS): I.3.3 [Computer Graphics]:Picture/Image GenerationLine and curve generation" ], "weblinks": [], "files": [], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lawonn-2018-illvisstar/", "__class": "Publication" }, { "id": "miao_tvcg_2017", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Placenta Maps: In Utero Placental Health Assessment of the Human Fetus", "date": "2017", "abstract": "null", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1236, "image_height": 1198, "preview_image_width": 1236, "preview_image_height": 1198, "name": "miao_tvcg_2017-image.png", "type": "image/png", "size": 588467, "path": "Publication:miao_tvcg_2017", "preview_name": "miao_tvcg_2017-image:preview.png", "preview_type": "image/png", "preview_size": 588467, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 869, 925, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 563, 1432, 166 ], "date_from": "2016-01-01", "date_to": "2017-04-21", "event": "Pacific Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1263 ], "number": "6", "pages_from": "1612", "pages_to": "1623", "protocol": "null", "volume": "23", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1236, "image_height": 1198, "preview_image_width": 1236, "preview_image_height": 1198, "name": "miao_tvcg_2017-image.png", "type": "image/png", "size": 588467, "path": "Publication:miao_tvcg_2017", "preview_name": "miao_tvcg_2017-image:preview.png", "preview_type": "image/png", "preview_size": 588467, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao_tvcg_2017-paper.pdf", "type": "application/pdf", "size": 17621975, "path": "Publication:miao_tvcg_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/", "__class": "Publication" }, { "id": "bruckner-2010-IFC", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Illustrative Focus+Context Approaches in Interactive Volume Visualization", "date": "2010", "abstract": "Illustrative techniques are a new and exciting direction in visualization research. Traditional techniques which have been used by scientific illustrators for centuries are re-examined under the light of modern computer technology. In this paper, we discuss the use of the focus+context concept for the illustrative visualization of volumetric data. We give an overview of the state-of-the-art and discuss recent approaches which employ this concept in novel ways.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 402, "image_height": 433, "name": "bruckner-2010-IFC-Teaser.png", "type": "image/png", "size": 117528, "path": "Publication:bruckner-2010-IFC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166, 591, 563, 872 ], "booktitle": "Scientific Visualization: Advanced Concepts", "chapter": "10", "editor": "Hans Hagen", "isbn": "978-3-939897-19-4", "note": "The article was originally written in 2005 after the Dagstuhl Seminar on Scientific Visualization and reflects the state-of-the-art at that time.", "pages_from": "136", "pages_to": "162", "series": "Dagstuhl Follow-Ups", "research_areas": [ "IllVis" ], "keywords": [ "Illustrative Visualization", "Volumetric Data" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2010-IFC-Paper.pdf", "type": "application/pdf", "size": 8221972, "path": "Publication:bruckner-2010-IFC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 402, "image_height": 433, "name": "bruckner-2010-IFC-Teaser.png", "type": "image/png", "size": 117528, "path": "Publication:bruckner-2010-IFC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/", "__class": "Publication" }, { "id": "preim-2009-sve", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Survey of the Visual Exploration and Analysis of Perfusion Data", "date": "2009", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 369, "image_height": 168, "name": "preim-2009-sve-image.jpg", "type": "image/jpeg", "size": 22361, "path": "Publication:preim-2009-sve", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 563, 751, 179, 166, 752, 5348 ], "issn": "1077-2626", "journal": "IEEE Transaction on Visualization and Computer Graphics", "number": "2", "pages_from": "205", "pages_to": "220", "volume": "15", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 369, "image_height": 168, "name": "preim-2009-sve-image.jpg", "type": "image/jpeg", "size": 22361, "path": "Publication:preim-2009-sve", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preim-2009-sve-paper.pdf", "type": "application/pdf", "size": 2732585, "path": "Publication:preim-2009-sve", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/", "__class": "Publication" }, { "id": "tut-eg-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent and important research and developments from academia in illustrative, nonphotorealistic rendering (NPR) focusing on its use for medical/science subjects. Lectures are organized within\na comprehensive illustration framework, focusing on three main components:\n\n(a) Traditional and computerized illustration techniques and principles for Technical and Science Subjects,\n\n(b) Evaluation and Practical Use,\n\n(c) Viewing & Rendering. \n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of NPR techniques and\nalgorithms.\nWe begin with a lecture presenting an overview of traditional illustration in technical, science, and medical subjects\nfollowed by a description of the main components in a NPR pipeline for developing systems to help technical\nand science illustrators with their work. The tutorial progresses with an overview of the NPR used in illustration\nas well as approaches to evaluate their use and effectiveness. Following lectures describe the latest techniques in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering\ntechniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering.\nEach of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. Tutorial concludes with discussion on specific medical case studies where the illustrative visualization has been effectively applied.\n\nEurographics 2006 tutorial page:\nhttp://www.cg.tuwien.ac.at/events/EG06/program-t1022.php\n\nSee also previous tutorials on Illustrative Visualization:\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 563, 596, 631, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, { "description": "Smart Visibility in Visualization and Importance-Driven Retargeting", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Slides.zip", "type": "application/x-zip", "size": 54741002, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Slides.zip", "thumb_image_sizes": [] }, { "description": "Overview and complete notes to each contribution", "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Tutorial Notes.pdf", "type": "application/pdf", "size": 9880748, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/", "__class": "Publication" }, { "id": "tut-vis-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent research and developments from academia in illustrative visualization focusing on its use for medical/science subjects. Lectures are organized within a\ncomprehensive illustration framework, focusing on three main components:\n\n• Traditional and computerized illustration techniques and principles for technical and\nscientific subjects\n\n• Evaluation and practical use\n\n• Viewing & rendering\n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of illustrative techniques and algorithms. We begin in the morning with a lecture presenting an overview of traditional illustration for\ntechnical, scientific, and medical subjects. This is followed by a description of the main components in an illustrative visualization pipeline for developing systems to assist technical\nand scientific illustrators. The tutorial progresses with an overview of the techniques used in illustration as well as approaches to evaluate their use and effectiveness. The morning concludes with the start of the “viewing and rendering” section. The three lectures in this section describe the latest approaches in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering techniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering. Each of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. The tutorial includes a trained medical illustrator discussing the principles/caveats/issues in using illustration techniques in real-world medical applications. This lecture will also describe an evaluation, from an illustrator’s point of view, of the use and quality of the techniques presented throughout the day. The tutorial concludes with discussion on specific medical case studies where illustrative visualization has been effectively applied.\n\nIEEE Visualization 2006 Tutorial Page:\nhttp://vis.computer.org/vis2006/session/tutorials.html#t3\n\nSee also previous tutorials on Illustrative Visualization:\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "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": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 631, 596, 161, 563, 566, 632, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/", "__class": "Publication" }, { "id": "eg-tut2005-iv", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations.\nSuch techniques exploit the perception of the human visual system and provide effective visual abstractions\nto make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive\npresentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive\ntechniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic\nrendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis\nor feature suppression is achieved by combining different abstraction levels in illustrative rendering.\nChallenges in visualization research are very large data visualization as well as multi-dimensional data visualization.\nTo effectively convey the most important visual information there is a significant need for visual abstraction.\nFor less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect\nas compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired\npatient data. This can be very useful in anatomy education. Another application area is surgical planning which\nis demonstrated with two case studies: neck dissection and liver surgery planning.", "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": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564 ], "booktitle": "Tutorial Notes on Illustrative Visualization", "publisher": "Eurographics", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eg-tut2005-iv-Tutorial Notes.pdf", "type": "application/pdf", "size": 18410027, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "__class": "Publication" }, { "id": "Viola-vistutillustrativevis", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired\nby traditional technical and medical illustrations. Such techniques\nexploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques\nused in art are adopted in computer graphics, and are denoted as\nillustrative or non-photorealistic rendering. Different stroke techniques,\nor brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientic visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization\ntechniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other\ntypes of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made.\nIllustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. Another application area is surgical planning which is demonstrated with two case studies: neck dissection and\nliver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564, 565, 566 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes HQ Version.pdf", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf", "type": "application/pdf", "size": 87682204, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes Small Version", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf", "type": "application/pdf", "size": 29076997, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/", "__class": "Publication" } ]