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Published on: June 7, 2020
Using mathematics in MRI data management for glioma assesment
A Perrillat-Mercerot1, C Guillevin2, A Miranville1
1UMR CNRS 7348, SP2MI, équipe DACTIM-MIS, laboratoire de mathématiques et applications, université de Poitiers, boulevard Marie-et-Pierre-Curie, Téléport 2, 86962 Chasseneuil Futuroscope cedex, France.
Abstract:
Our aim is to review the mathematical tools usefulness in MR data management for glioma diagnosis and treatment optimization. MRI does not give access to organs variations in hours or days. However a lot of multiparametric data are generated. Mathematics could help to override this paradox, the aim of this article is to show how. We first make a review on mathematical modelling using equations. Afterwards we present statistical analysis. We provide detailed examples in both sections. We finally conclude, giving some clues on in silico models.

