SEGMENTATION AUTONOME DE STRUCTURES TRIDIMENSIONNELLES DU SYSTÈME NERVEUX À PARTIR D'IMAGES MÉDICALES

摘要

A method for autonomous segmentation of three-dimensional nervous system structures from raw medical images, the method comprising the following steps: receiving (301) a 3D scan volume comprising a set of medical scan images of a region of the anatomy; autonomously processing (302) the set of medical scan images to perform segmentation of a bony structure of the anatomy to obtain bony structure segmentation data; autonomously processing (304) a subsection of the 3D scan volume as a 3D region of interest (ROI) by combining (303) the raw medical scan images and the bony structure segmentation data, wherein the 3D ROI contains a subvolume of the bony structure with a portion of surrounding tissues, including the nervous system structure; autonomously processing the ROI (306) to determine the 3D shape, location, and size of the nervous system structures by means of a pre-trained convolutional neural network (CNN) (400).