A Survey on Visualizing Magnetic Resonance Spectroscopy Data
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Date
2014Author
Nunes, Miguel
Laruelo, Andrea
Ken, SoleaKhena
Laprie, Anne
Bühler, Katja
Metadata
Show full item recordAbstract
Data 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.
BibTeX
@inproceedings {10.2312:vcbm.20141180,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
editor = {Ivan Viola and Katja Buehler and Timo Ropinski},
title = {{A Survey on Visualizing Magnetic Resonance Spectroscopy Data}},
author = {Nunes, Miguel and Laruelo, Andrea and Ken, SoleaKhena and Laprie, Anne and Bühler, Katja},
year = {2014},
publisher = {The Eurographics Association},
ISSN = {2070-5778},
ISBN = {978-3-905674-62-0},
DOI = {10.2312/vcbm.20141180}
}
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
editor = {Ivan Viola and Katja Buehler and Timo Ropinski},
title = {{A Survey on Visualizing Magnetic Resonance Spectroscopy Data}},
author = {Nunes, Miguel and Laruelo, Andrea and Ken, SoleaKhena and Laprie, Anne and Bühler, Katja},
year = {2014},
publisher = {The Eurographics Association},
ISSN = {2070-5778},
ISBN = {978-3-905674-62-0},
DOI = {10.2312/vcbm.20141180}
}