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dc.contributor.authorNunes, Miguelen_US
dc.contributor.authorLaruelo, Andreaen_US
dc.contributor.authorKen, SoleaKhenaen_US
dc.contributor.authorLaprie, Anneen_US
dc.contributor.authorBühler, Katjaen_US
dc.contributor.editorIvan Viola and Katja Buehler and Timo Ropinskien_US
dc.date.accessioned2014-12-16T07:36:53Z
dc.date.available2014-12-16T07:36:53Z
dc.date.issued2014en_US
dc.identifier.isbn978-3-905674-62-0en_US
dc.identifier.issn2070-5778en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vcbm.20141180en_US
dc.identifier.urihttp://hdl.handle.net/10.2312/vcbm.20141180.021-030
dc.description.abstractData from Magnetic Resonance Spectroscopy Imaging (MRSI) contains signals about biomarkers concentrations, which are used to achieve new knowledge about biochemical processes. These support doctors in identifying and treat diseases as well as better defining regions of interest. In clinical environment, the lack of appropriate methods and tools to visualize MRSI has made this imaging technique information hard to interpret and include in treatment planning workflows. This paper is doing a review on how MRSI data is analysed in a medical environment as well as new approaches from the rendering and visual analytics areas. We conclude that this topic will be under the spotlight in the coming years, as current research is still facing many challenges on which the visualization community can actively contribute to.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectMedical information systemsen_US
dc.titleA Survey on Visualizing Magnetic Resonance Spectroscopy Dataen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US


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