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

Andrea Laruelo (1, 2) , T. Fecher (3) , Lotfi Chaari (1, 4) , Soleakhena Ken (2, 5) , Ben Rowland (2) , Hadj Batatia (1) , Régis Ferrand (2) , L. Simon (2) , Jean-Yves Tourneret (6, 4) , Anne Laprie (2, 5)

1 IRIT-TCI - Traitement et Compréhension d’Images
2 Institut Claudius Regaud
3 University Hospital Freiburg
4 Toulouse INP - Institut National Polytechnique (Toulouse)
5 ICHN - Imagerie cérébrale et handicaps neurologiques
6 IRIT-MINDS - CoMputational imagINg anD viSion

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.

Mots clés: MRSI; MR spectroscopic imaging

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Andrea Laruelo, T. Fecher, Lotfi Chaari, Soleakhena Ken, Ben Rowland, et al.. Towards Accurate and Robust MRSI Quantification to Improve the Radiation Therapy Treatment of GBM. International Journal of Radiation Oncology, Biology, Physics, 2014, vol. 90 (n° 1 suppl), pp. S793. ⟨10.1016/j.ijrobp.2014.05.2292⟩. ⟨hal-01485017⟩