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Towards Accurate and Robust MRSI Quantification to Improve the Radiation Therapy Treatment of GBM

Laruelo, Andrea and Fecher, T. and Chaari, Lotfi and Ken, Soleakhena and Rowland, Ben and Batatia, Hadj and Ferrand, Régis and Simon, L. and Tourneret, Jean-Yves and Laprie, Anne Towards Accurate and Robust MRSI Quantification to Improve the Radiation Therapy Treatment of GBM. (2014) In: 56th Annual Meeting ASTRO's, 25 September 2016 - 28 September 2016 (Boston, Massachusetts, United States). (Unpublished)

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Official URL: http://dx.doi.org/10.1016/j.ijrobp.2014.05.2292

Abstract

MR spectroscopic imaging (MRSI) can characterize biochemical, metabolic and pathological changes in brain tissues before they are visible from conventional anatomical images. This makes MRSI a powerful tool to define biologically tailored target volumes for dose escalation in radiation therapy treatments. Although the numerous existing quantification techniques, it remains difficult to obtain accurate information from MRSI signals due to biological and experimental conditions decreasing the quality of the data.

Item Type:Conference or Workshop Item (Poster)
Additional Information:International Journal of Radiation Oncology Biology Physics (ISSN: 0360-3016) at : http://www.sciencedirect.com/science/article/pii/S0360301614029435
HAL Id:hal-01485017
Audience (journal):International peer-reviewed journal
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Institut Claudius Regaud - ICR (FRANCE)
Other partners > University Hospital Freiburg (GERMANY)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:23 Feb 2017 16:30

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