Monitoring brain tumor evolution using multiparametric MRI

Benjamin Lemasson (1) , Nora Collomb (2) , Alexis Arnaud (3) , Florence Forbes (3) , Emmanuel L. Barbier (4)

1 ANTE-INSERM U836, équipe 5 - Neuro-imagerie fonctionnelle et métabolique
2 INSERM U836, équipe 1, Physiopathologie du cytosquelette
3 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
4 GIN - [GIN] Grenoble Institut des Neurosciences

— Analysing brain tumor tissue composition can improve the handling of tumor growth and resistance to therapies. We show on a 6 time point dataset of 8 rats that multiparametric MRI can be exploited via statistical clustering to quantify intra-lesional heterogeneity in space and time.

Domaines: Statistiques [math.ST]

Benjamin Lemasson, Nora Collomb, Alexis Arnaud, Florence Forbes, Emmanuel L. Barbier. Monitoring brain tumor evolution using multiparametric MRI. 2017 IEEE International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨hal-01652026⟩