Master Assignment
[D] Lesion detection model to monitor MS progression in brain MRI scans
Type: MasterÂ
Period: TBD
Student: (Unassigned)
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Data type(s): 3D imaging data
Description: Multiple sclerosis (MS) is an autoimmune disease that damages the protective coverings of nerve cells in the brain and spinal cord. To track its progression, patients undergo regular brain MRI scans. This project aims to develop a model that automatically detects new lesions in follow-up scans. The first step is to create an algorithm that accurately aligns 3D MRI images taken from the same patient over time, ensuring precise comparison between scans.
Goal: develop a model for automatic lesion detection in follow-up MR scans
Supervisors: Drs. Relinde Schepers (ZGT)