A Survey on Multimodal Medical Data Visualization
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 det...
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Veröffentlicht in: | Computer graphics forum 2018-02, Vol.37 (1), p.413-438 |
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description | 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.
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. |
doi_str_mv | 10.1111/cgf.13306 |
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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.</description><identifier>ISSN: 0167-7055</identifier><identifier>EISSN: 1467-8659</identifier><identifier>DOI: 10.1111/cgf.13306</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>medical imaging ; Medical Imaging [Visualization], Scientific Visualization [Visualization], Volume Visualization [Visualization], Multimodal Medical Data ; Modal data ; Physicians ; Scientific visualization ; Taxonomy ; Visibility ; Visualization ; volume visualization</subject><ispartof>Computer graphics forum, 2018-02, Vol.37 (1), p.413-438</ispartof><rights>2017 The Authors Computer Graphics Forum © 2017 The Eurographics Association and John Wiley & Sons Ltd.</rights><rights>2018 The Eurographics Association and John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4066-f67cee102bb6c9ad6a964855de2f952e351bf41fe584b32e2b6530b09f591d4b3</citedby><cites>FETCH-LOGICAL-c4066-f67cee102bb6c9ad6a964855de2f952e351bf41fe584b32e2b6530b09f591d4b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fcgf.13306$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fcgf.13306$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Lawonn, K.</creatorcontrib><creatorcontrib>Smit, N.N.</creatorcontrib><creatorcontrib>Bühler, K.</creatorcontrib><creatorcontrib>Preim, B.</creatorcontrib><title>A Survey on Multimodal Medical Data Visualization</title><title>Computer graphics forum</title><description>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.
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.</description><subject>medical imaging</subject><subject>Medical Imaging [Visualization], Scientific Visualization [Visualization], Volume Visualization [Visualization], Multimodal Medical Data</subject><subject>Modal data</subject><subject>Physicians</subject><subject>Scientific visualization</subject><subject>Taxonomy</subject><subject>Visibility</subject><subject>Visualization</subject><subject>volume visualization</subject><issn>0167-7055</issn><issn>1467-8659</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAQhi0EEqEw8A8iMTGkPTuxE49VoAWpFQMfq2UnNnKVJsVOqMKvxxBWbnlPp-fupAehawxzHGpRvZs5TlNgJyjCGcuTglF-iiLAoc-B0nN04f0OALKc0QjhZfw8uE89xl0bb4emt_uulk281bWtQt7JXsZv1g-ysV-yt117ic6MbLy--ssZel3dv5QPyeZp_VguN0mVAWOJYXmlNQaiFKu4rJnkLCsorTUxnBKdUqxMho2mRaZSooliNAUF3FCO6zCaoZvp7sF1H4P2vdh1g2vDS0EA8oKkDOeBup2oynXeO23Ewdm9dKPAIH6MiGBE_BoJ7GJij7bR4_-gKNeraeMb-WFgQA</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Lawonn, K.</creator><creator>Smit, N.N.</creator><creator>Bühler, K.</creator><creator>Preim, B.</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201802</creationdate><title>A Survey on Multimodal Medical Data Visualization</title><author>Lawonn, K. ; Smit, N.N. ; Bühler, K. ; Preim, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4066-f67cee102bb6c9ad6a964855de2f952e351bf41fe584b32e2b6530b09f591d4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>medical imaging</topic><topic>Medical Imaging [Visualization], Scientific Visualization [Visualization], Volume Visualization [Visualization], Multimodal Medical Data</topic><topic>Modal data</topic><topic>Physicians</topic><topic>Scientific visualization</topic><topic>Taxonomy</topic><topic>Visibility</topic><topic>Visualization</topic><topic>volume visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lawonn, K.</creatorcontrib><creatorcontrib>Smit, N.N.</creatorcontrib><creatorcontrib>Bühler, K.</creatorcontrib><creatorcontrib>Preim, B.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computer graphics forum</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lawonn, K.</au><au>Smit, N.N.</au><au>Bühler, K.</au><au>Preim, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Survey on Multimodal Medical Data Visualization</atitle><jtitle>Computer graphics forum</jtitle><date>2018-02</date><risdate>2018</risdate><volume>37</volume><issue>1</issue><spage>413</spage><epage>438</epage><pages>413-438</pages><issn>0167-7055</issn><eissn>1467-8659</eissn><abstract>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.
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.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/cgf.13306</doi><tpages>26</tpages></addata></record> |
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subjects | medical imaging Medical Imaging [Visualization], Scientific Visualization [Visualization], Volume Visualization [Visualization], Multimodal Medical Data Modal data Physicians Scientific visualization Taxonomy Visibility Visualization volume visualization |
title | A Survey on Multimodal Medical Data Visualization |
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