Diffuse Low Grade Glioma NMR Assessment for Better Intra-operative Targeting Using Fuzzy Logic

摘要

Nowadays, billion images are made each year to discover or follow brain pathologies. The main goal of our tool is to offer an enhanced view of each diffused low grade glioma by using a fuzzy logic targeting. Using this method, we are trying to reproduce the neuroradiologist process to have a better understanding of the images and a better tumor targeting. We can use this method with only one multi-parametric RMN acquisition (anatomical, diffusion, perfusion, spectroscopy). For the diffuse low grade glioma (DLGG), it helps to deal with uncertain bounds of the tumor and helps to target isolated infiltrated tumorous cells. It will help surgeons in their decision process in case of supra-total resection. As results, we obtain color maps which show different parts of the tumor: the main core and spread cells.