Intensity based Regions Of Interest (ROIs) preselection followed by Convolutional Neuronal Network (CNN) based segmentation for new lesions detection in Multiple Sclerosis
Résumé
Detecting new lesions is a key aspect of the radiological follow-up of patients with Multiple Sclerosis (MS), leading to eventual changes in their therapeutics. Our pipeline for new lesion detection based on two consecutive FLAIR MRIs consists in two steps. We start by a detection of potential Region Of Interest (ROI) containing new lesions using a sensitive classical image processing procedure. It detects the connected voxels which intensity increases in the second visit compared to the first one. We then apply a filtering procedure to segment voxels corresponding to new lesions in those potential ROI by applying Convolutional Neuronal Networks (CNN).
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