A Survey on Multimodal Medical Data Visualization
| Autor: | Kai Lawonn, Katja Bühler, Noeska N. Smit, Bernhard Preim |
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| Rok vydání: | 2017 |
| Předmět: |
Visual analytics
Creative visualization business.industry Computer science media_common.quotation_subject Visibility (geometry) Scientific visualization 020207 software engineering 02 engineering and technology Computer Graphics and Computer-Aided Design Data science 030218 nuclear medicine & medical imaging Visualization 03 medical and health sciences Information visualization 0302 clinical medicine Data visualization Biological data visualization 0202 electrical engineering electronic engineering information engineering business media_common |
| Zdroj: | Computer Graphics Forum. 37:413-438 |
| ISSN: | 0167-7055 |
| DOI: | 10.1111/cgf.13306 |
| Popis: | Multi-modal data of the complex human anatomy contain a wealth of information. To visualize and explore such data, techniques for emphasizing important structures and controlling visibility are essential. Such fused overview visualizations guide physicians to suspicious regions to be analysed in detail, e.g. with slice-based viewing. We give an overview of state of the art in multi-modal medical data visualization techniques. Multi-modal medical data consist of multiple scans of the same subject using various acquisition methods, often combining multiple complimentary types of information. Three-dimensional visualization techniques for multi-modal medical data can be used in diagnosis, treatment planning, doctor–patient communication as well as interdisciplinary communication. Over the years, multiple techniques have been developed in order to cope with the various associated challenges and present the relevant information from multiple sources in an insightful way. We present an overview of these techniques and analyse the specific challenges that arise in multi-modal data visualization and how recent works aimed to solve these, often using smart visibility techniques. We provide a taxonomy of these multi-modal visualization applications based on the modalities used and the visualization techniques employed. Additionally, we identify unsolved problems as potential future research directions. |
| Databáze: | OpenAIRE |
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