A multimodal image fusion framework applied in radiotherapy
The monitoring of patients position during treatment in radiotherapy requires suitable real-time vizualization tools which provide a maximum of information. Often, only Electronic Portal Images (EPIs), which are of poor quality, exist for the dynamical verification of position deviations, whereas st...
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creator | Riefenstahl, N. Krell, G. Calow, R. Michaelis, B. Walke, M. |
description | The monitoring of patients position during treatment in radiotherapy requires suitable real-time vizualization tools which provide a maximum of information. Often, only Electronic Portal Images (EPIs), which are of poor quality, exist for the dynamical verification of position deviations, whereas static image material of higher quality is available from diagnostics and treatment planning. A framework for the fusion of static and dynamic multimodal image data is proposed, which is based on the several image sources existing in radiotherapy. |
doi_str_mv | 10.1109/IV.2001.942055 |
format | Conference Proceeding |
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Often, only Electronic Portal Images (EPIs), which are of poor quality, exist for the dynamical verification of position deviations, whereas static image material of higher quality is available from diagnostics and treatment planning. A framework for the fusion of static and dynamic multimodal image data is proposed, which is based on the several image sources existing in radiotherapy.</description><identifier>ISBN: 9780769511955</identifier><identifier>ISBN: 0769511953</identifier><identifier>DOI: 10.1109/IV.2001.942055</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computed tomography ; Data visualization ; Digital images ; Image fusion ; Medical treatment ; Optical imaging ; Optical sensors ; Patient monitoring ; Portals ; X-ray imaging</subject><ispartof>Proceedings Fifth International Conference on Information Visualisation, 2001, p.173-178</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/942055$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/942055$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Riefenstahl, N.</creatorcontrib><creatorcontrib>Krell, G.</creatorcontrib><creatorcontrib>Calow, R.</creatorcontrib><creatorcontrib>Michaelis, B.</creatorcontrib><creatorcontrib>Walke, M.</creatorcontrib><title>A multimodal image fusion framework applied in radiotherapy</title><title>Proceedings Fifth International Conference on Information Visualisation</title><addtitle>IV</addtitle><description>The monitoring of patients position during treatment in radiotherapy requires suitable real-time vizualization tools which provide a maximum of information. Often, only Electronic Portal Images (EPIs), which are of poor quality, exist for the dynamical verification of position deviations, whereas static image material of higher quality is available from diagnostics and treatment planning. A framework for the fusion of static and dynamic multimodal image data is proposed, which is based on the several image sources existing in radiotherapy.</description><subject>Computed tomography</subject><subject>Data visualization</subject><subject>Digital images</subject><subject>Image fusion</subject><subject>Medical treatment</subject><subject>Optical imaging</subject><subject>Optical sensors</subject><subject>Patient monitoring</subject><subject>Portals</subject><subject>X-ray imaging</subject><isbn>9780769511955</isbn><isbn>0769511953</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0tLw0AURgdEUGq2LlzNH0i8887gqhQfhYIbdVtuMnd0NGnCJEX67w3Ub3N2h_MxdiugEgL8_fajkgCi8lqCMRes8K4GZ70RwhtzxYpp-oZlyhsp5DV7WPP-2M2pHwJ2PPX4STwepzQceMzY0--QfziOY5co8HTgGUMa5i_KOJ5u2GXEbqLinyv2_vT4tnkpd6_P2816Vybh5FzWS0EIUoNXEqhtPIaoojMtIEXhvXKKGhOtbltra0s1aaWVCNpCo6FGtWJ3Z28iov2Yl8p82p8fqj_7-EWO</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Riefenstahl, N.</creator><creator>Krell, G.</creator><creator>Calow, R.</creator><creator>Michaelis, B.</creator><creator>Walke, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2001</creationdate><title>A multimodal image fusion framework applied in radiotherapy</title><author>Riefenstahl, N. ; Krell, G. ; Calow, R. ; Michaelis, B. ; Walke, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-8780dd2409320ecb9adf3f75c0aef199373eb5f64cc6686e8e43431d460b408a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Computed tomography</topic><topic>Data visualization</topic><topic>Digital images</topic><topic>Image fusion</topic><topic>Medical treatment</topic><topic>Optical imaging</topic><topic>Optical sensors</topic><topic>Patient monitoring</topic><topic>Portals</topic><topic>X-ray imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Riefenstahl, N.</creatorcontrib><creatorcontrib>Krell, G.</creatorcontrib><creatorcontrib>Calow, R.</creatorcontrib><creatorcontrib>Michaelis, B.</creatorcontrib><creatorcontrib>Walke, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)【Remote access available】</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Riefenstahl, N.</au><au>Krell, G.</au><au>Calow, R.</au><au>Michaelis, B.</au><au>Walke, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A multimodal image fusion framework applied in radiotherapy</atitle><btitle>Proceedings Fifth International Conference on Information Visualisation</btitle><stitle>IV</stitle><date>2001</date><risdate>2001</risdate><spage>173</spage><epage>178</epage><pages>173-178</pages><isbn>9780769511955</isbn><isbn>0769511953</isbn><abstract>The monitoring of patients position during treatment in radiotherapy requires suitable real-time vizualization tools which provide a maximum of information. Often, only Electronic Portal Images (EPIs), which are of poor quality, exist for the dynamical verification of position deviations, whereas static image material of higher quality is available from diagnostics and treatment planning. A framework for the fusion of static and dynamic multimodal image data is proposed, which is based on the several image sources existing in radiotherapy.</abstract><pub>IEEE</pub><doi>10.1109/IV.2001.942055</doi><tpages>6</tpages></addata></record> |
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subjects | Computed tomography Data visualization Digital images Image fusion Medical treatment Optical imaging Optical sensors Patient monitoring Portals X-ray imaging |
title | A multimodal image fusion framework applied in radiotherapy |
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