[ { "id": "kummer-2025-fvo", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/219860", "title": "Flattening-based visualization of supine breast MRI", "date": "2025-09-22", "abstract": "We propose two novel visualization methods optimized for supine breast images that “flatten” breast tissue, facilitating examination of larger tissue areas within each coronal slice. Breast cancer is the most frequently diagnosed cancer in women, and early lesion detection is crucial for reducing mortality. Supine breast magnetic resonance imaging (MRI) enables better lesion localization for image-guided interventions; however, traditional axial visualization is suboptimal because the tissue spreads over the chest wall, resulting in numerous fragmented slices that radiologists must scroll through during standard interpretation. Using a human-centered design approach, we incorporated user and expert feedback throughout the co-design and evaluation stages of our flattening methods. Our first proposed method, a surface-cutting approach, generates offset surfaces and flattens them independently using As-Rigid-As-Possible (ARAP) surface mesh parameterization. The second method uses a landmark-based warp to flatten the entire breast volume at once. Expert evaluations revealed that the surface-cutting method provides intuitive overviews and clear vascular detail, with low metric (2–2.5%) and area (3.7–4.4%) distortions. However, independent slice flattening can introduce depth distortions across layers. The landmark warp offers consistent slice alignment and supports direct annotations and measurements, with radiologists favoring it for its anatomical accuracy. Both methods significantly reduced the number of slices needed to review, highlighting their potential for time savings and clinical impact — an essential factor for adopting supine MRI.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5500, 5501, 5502, 1410, 231 ], "ac_number": "AC17670018", "articleno": "104395", "doi": "10.1016/j.cag.2025.104395", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "open_access": "yes", "pages": "9", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "133", "research_areas": [], "keywords": [ "Image reformation", "Medical visualization", "Breast imaging", "Radiology" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kummer-2025-fvo-paper.pdf", "type": "application/pdf", "size": 3063948, "path": "Publication:kummer-2025-fvo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/kummer-2025-fvo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/kummer-2025-fvo-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/", "__class": "Publication" }, { "id": "Ganglberger-2022-cg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/152311", "title": "Spatial-Data-Driven Layouting for Brain Network Visualization", "date": "2022-06", "abstract": "Recent advances in neuro-imaging enable scientists to create brain network data that can lead to novel insights into neurocircuitry, and a better understanding of the brain’s organization. These networks inherently involve a spatial component, depicting which brain regions are structurally, functionally or genetically related. Their visualization in 3D suffers from occlusion and clutter, especially with increasing number of nodes and connections, while 2D representations such as connectograms, connectivity matrices, and node-link diagrams neglect the spatio-anatomical context. Approaches to arrange 2D-graphs manually are tedious, species-dependent, and require the knowledge of domain experts.\r\nIn this paper, we present a spatial-data-driven approach for layouting 3D brain networks in 2D node-link diagrams, while maintaining their spatial organization. The produced graphs do not need manual positioning of nodes, are consistent (even for sub-graphs), and provide a perspective-dependent arrangement for orientation. Furthermore, we provide a visual design for highlighting anatomical context, including the shape of the brain, and the size of brain regions. We present in several case-studies the applicability of our approach for different neuroscience-relevant species, including the mouse, human, and Drosophila larvae. In a user study conducted with several domain experts, we demonstrate its relevance and validity, as well as its potential for neuroscientific publications, presentations, and education.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 248, "image_height": 192, "name": "Ganglberger-2022-cg-image.png", "type": "image/png", "size": 52057, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1747, 1929, 1464, 1358, 1930, 1931, 231 ], "doi": "10.1016/j.cag.2022.04.014", "issn": "1873-7684", "journal": "Computers & Graphics", "open_access": "yes", "pages": "13", "pages_from": "12", "pages_to": "24", "publisher": "Elsevier", "volume": "105", "research_areas": [], "keywords": [ "networks", "neuroscience", "graph layouting", "brain parcellation", "anatomical layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 248, "image_height": 192, "name": "Ganglberger-2022-cg-image.png", "type": "image/png", "size": 52057, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ganglberger-2022-cg-paper.pdf", "type": "application/pdf", "size": 22337410, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ganglberger-2022-cg-video.mp4", "type": "video/mp4", "size": 19315917, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/", "__class": "Publication" }, { "id": "reina-2020-mtv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141135", "title": "The moving target of visualization software for an increasingly complex world", "date": "2020-04", "abstract": "Visualization has evolved into a mature scientific field and it has also become widely accepted as a standard approach in diverse fields, including physics, life sciences, and business intelligence. However, despite its successful development, there are still many open research questions that require customized implementations in order to explore and establish concepts, and to perform experiments and take measurements. Many methods and tools have been developed and published but most are stand-alone prototypes and have not reached a mature state that can be used in a reliable manner by collaborating domain scientists or a wider audience. In this study, we discuss the challenges, solutions, and open research questions that affect the development of sophisticated, relevant, and novel scientific visualization solutions with minimum overheads. We summarize and discuss the results of a recent National Institute of Informatics Shonan seminar on these topics.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 301, "image_height": 121, "name": "reina-2020-mtv-teaser.jpg", "type": "image/jpeg", "size": 15741, "path": "Publication:reina-2020-mtv", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1750, 1751, 235, 231, 1110, 1752, 1248, 951, 1753, 1754, 166, 1249 ], "doi": "https://doi.org/10.1016/j.cag.2020.01.005", "journal": "Computers & Graphics", "pages_from": "12", "pages_to": "29", "volume": "87", "research_areas": [], "keywords": [ "Software engineering", "Visualization", "Visualization community", "Visualization research", "Visualization software" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849320300078", "caption": "paper", "description": "Online paper on ScienceDirect", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 301, "image_height": 121, "name": "reina-2020-mtv-teaser.jpg", "type": "image/jpeg", "size": 15741, "path": "Publication:reina-2020-mtv", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/", "__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": "sorger-2013-neuromap", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "neuroMAP - Interactive Graph-Visualization of the Fruit Fly's Neural Circuit", "date": "2013-10", "abstract": "Neuroscientists study the function of neural circuits in the brain of the common fruit fly Drosophila melanogaster to discover how complex behavior is generated. To establish models of neural information processing, knowledge about potential connections between individual neurons is required. Connections can occur when the arborizations of two neurons overlap. Judging connectivity by analyzing overlaps using traditional volumetric visualization is difficult since the examined objects occlude each other. A more abstract form of representation is therefore desirable. In collaboration with a group of neuroscientists, we designed and implemented neuroMap, an interactive two-dimensional graph that renders the brain and its interconnections in the form of a circuit-style wiring diagram. neuroMap provides a clearly structured overview of all possible connections between neurons and offers means for interactive exploration of the underlying neuronal database. In this paper, we discuss the design decisions that formed neuroMap and evaluate its application in discussions with the scientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 947, "image_height": 703, "name": "sorger-2013-neuromap-teaser.jpg", "type": "image/jpeg", "size": 113971, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 231, 1142, 1278, 820 ], "booktitle": "Biological Data Visualization (BioVis), 2013 IEEE Symposium on ", "lecturer": [ 1072 ], "location": "Atlanta", "pages_from": "73", "pages_to": "80", "publisher": "IEEE", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2013-neuromap-paper.pdf", "type": "application/pdf", "size": 1416747, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 947, "image_height": 703, "name": "sorger-2013-neuromap-teaser.jpg", "type": "image/jpeg", "size": 113971, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/", "__class": "Publication" }, { "id": "bruckner-2009-BVQ", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "BrainGazer - Visual Queries for Neurobiology Research", "date": "2009-11", "abstract": "Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as the common fruit fly Drosophila melanogaster, have proven to be an important tool in this research. Large databases of transgenic specimens are being built and need to be analyzed to establish models of neural information processing. In this paper we present an approach for the exploration and analysis of neural circuits based on such a database. We have designed and implemented BrainGazer, a system which integrates visualization techniques for volume data acquired through confocal microscopy as well as annotated anatomical structures with an intuitive approach for accessing the available information. We focus on the ability to visually query the data based on semantic as well as spatial relationships. Additionally, we present visualization techniques for the concurrent depiction of neurobiological volume data and geometric objects which aim to reduce visual clutter. The described system is the result of an ongoing interdisciplinary collaboration between neurobiologists and visualization researchers.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Visualization of neural clusters in the fly brain", "filetitle": "Flybrain", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1020, "image_height": 553, "name": "bruckner-2009-BVQ-Flybrain.jpg", "type": "image/jpeg", "size": 118424, "path": "Publication:bruckner-2009-BVQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 896, 166, 187, 231, 821, 820 ], "date_from": "2009-10-11", "date_to": "2009-10-16", "event": "IEEE Visualization 2009", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 161 ], "location": "Atlantic City, New Jersey, USA", "number": "6", "pages_from": "1497", "pages_to": "1504", "volume": "15", "research_areas": [], "keywords": [ "biomedical visualization", "neurobiology", "visual queries", "volume visualization" ], "weblinks": [], "files": [ { "description": "Visualization of neural clusters in the fly brain", "filetitle": "Flybrain", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1020, "image_height": 553, "name": "bruckner-2009-BVQ-Flybrain.jpg", "type": "image/jpeg", "size": 118424, "path": "Publication:bruckner-2009-BVQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2009-BVQ-Paper.pdf", "type": "application/pdf", "size": 28390882, "path": "Publication:bruckner-2009-BVQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Paper:thumb{{size}}.png" }, { "description": "Video demonstration of the BrainGazer system (DivX codec)", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1068, "preview_image_height": 652, "name": "bruckner-2009-BVQ-Video.avi", "type": "video/x-msvideo", "size": 32610624, "path": "Publication:bruckner-2009-BVQ", "preview_name": "bruckner-2009-BVQ-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 41177, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/", "__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" }, { "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": "Buehler-2003-Geo", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Geometric Methods for Vessel Visualization and Quantification- A Survey", "date": "2003", "abstract": "Visualization and quantitative analysis of vessel data is an important preprocessing step in diagnosis of vascular diseases, monitoring, surgery planning, blood flow simulation, education and training surgeons. This paper surveys several geometric methods to solve basic visualization and quantification problems like centerline computation, boundary detection, projections techniques, and geometric model generation.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231, 189, 168 ], "booktitle": "Geometric Modelling for Scientific Visualization", "editor": "G. Brunnett, B. Hamann, H. Müller", "isbn": "ISBN: 3-540-40116-4", "pages": "?", "pages_from": "421", "pages_to": "399", "publisher": "Springer", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Buehler-2003-Geo/", "__class": "Publication" }, { "id": "Buehler-2002-Imp", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Implicit Linear Interval Estimations", "date": "2002", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231 ], "booktitle": "Spring Conference on Computer Graphics 2002", "publisher": "ACM", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Buehler-2002-Imp/", "__class": "Publication" }, { "id": "Buehler-2002-Fas", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast and Reliable Plotting of Implicit Curves", "date": "2002", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231 ], "booktitle": "Uncertainty Geometric Computations", "pages_from": "15", "pages_to": "28", "publisher": "Kluwer Academic Publishers", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Buehler-2002-Fas/", "__class": "Publication" }, { "id": "buehler-2001-ueb", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Über den Schnitt zweier Linearer Intervallabschätzungen", "date": "2001-03", "abstract": "Lineare Intervallabschätzungen (LIEs) für parametrische Flächen sind parametrisierte Einschließungskörper, die in [1] im Zusammenhang mit einem Schnittalgorithmus für parametrische Flächen eingeführt wurden. Diese Arbeit enthält die Sätze und Beweise, die die Grundlage für den in [1] erwähnten Schnitttest mit automatischer Parametergebietsreduzierung bilden. [1] K.Bühler, W.Barth, A new intersection algorithm for parametric surfaces based on linear interval estimations, In: Scientific Computing, Validated Numerics, Interval Methods, Kluwer Academic Publishers, To Appear in Spring 2001.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231 ], "number": "TR-186-2-01-07", "pages_from": "1", "pages_to": "20", "research_areas": [], "keywords": [ "parametric surfaces", "bounding volumes", "parameter domain pruning", "intersection", "LIE", "Linear Interval Estimation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "buehler-2001-ueb-paper.pdf", "type": "application/pdf", "size": 242796, "path": "Publication:buehler-2001-ueb", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/buehler-2001-ueb/buehler-2001-ueb-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/buehler-2001-ueb/", "__class": "Publication" }, { "id": "Buehler-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "A new Subdivision Algorithm for the Intersection of Parametric Surfaces", "date": "2001", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231 ], "date_end": "2001-06", "date_start": "1999-01", "supervisor": [ 69 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Buehler-thesis-pdf.pdf", "type": "application/pdf", "size": 13174496, "path": "Publication:Buehler-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-thesis/Buehler-thesis-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-thesis/Buehler-thesis-pdf:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-thesis/", "__class": "Publication" }, { "id": "Buehler-2001-Tay", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Taylor Models and Affine Arithmetics - Towards a More Sophisticated Use of Reliable Arithmetics in Computer Graphics", "date": "2001", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231 ], "note": "Proceedings of the 17th Spring Conference in Computer Graphics (SCCG'01), Budmerice, Slovakia, IEEE, April, 25th-28th, 2001, ISBN 0-7695-1215-1", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-Tay/", "__class": "Publication" }, { "id": "Buehler-2001-Line", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Linear Interval Estimations - Reliable Bounds for Implicit Curves and Surfaces", "date": "2001", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231 ], "note": "Extended Abstract and Poster, Workshop on Uncertainty in Geometric Computations, Sheffield, July 2001", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-Line/", "__class": "Publication" }, { "id": "Buehler-2001-Lin", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Linear Interval Estimations for Parametric Objects - Theory and Applications", "date": "2001", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 231 ], "note": "Proceedings of Eurographics 2001, A. Chalmers and T.-M. Rhyne (eds.), Computer Graphics Forum, 20(3), September 2001", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-Lin/", "__class": "Publication" }, { "id": "Buehler-2001-ANe", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "A New Intersection Algorithm for Parametric Surfaces Based on Linear Interval Estimations", "date": "2001", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 69, 231 ], "note": "Scientific Computing, Validated Numerics, Interval Methods, Walter Kämer, Jürgen Wolff von Gudenberg (eds.), Kluwer Academic Publishers, Boston/Dordrecht/London, 2001", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-ANe/", "__class": "Publication" }, { "id": "Buehler-2000-Int", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Intersecting Parametric Surfaces Using Special Arithmetics", "date": "2000", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 69, 231 ], "note": "extended Abstract, Alhambra 2000 Conference, Granada, Spain July 3-7, 2000", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Buehler-2000-Int/", "__class": "Publication" }, { "id": "Buehler-2000-ANe", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "A New Intersection Algorithm for Parametric Surfaces Based on Linear Interval Estimations", "date": "2000", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 69, 231 ], "note": "Scientific Computing, Validated Numerics, Interval Methods, Walter Kämer, Jürgen Wolff von Gudenberg (eds.), Kluwer Academic Publishers, Boston/Dordrecht/London, 2001.
Proceedings of SCAN 2000 - International Symposium on Scientific Computing, Computer Arithmetics and Validated Numerics, Karlsruhe, Germany, September 18-22, 2000", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Buehler-2000-ANe/", "__class": "Publication" } ]