Topology-preserving surface fitting in limbus neuroimaging using histology-informed anatomical priors

This research project aims to improve how brain MRI images are analyzed by creating more accurate 3D models of deep brain regions involved in memory, emotion, and neurological disorders such as epilepsy. The intern will develop advanced software and artificial intelligence methods that use highly detailed anatomical reference data from research imaging and tissue studies to better represent complex brain structures that are often difficult to capture using standard clinical MRI scans. By making these brain models more biologically accurate, the project will help generate more reliable measurements and improve the interpretation of MRI data in both research and clinical settings. For BrainScores, this work will strengthen the performance and scientific validity of its neuroimaging software platform, leading to more precise and interpretable outputs for clinicians and researchers. In the longer term, these improvements may support earlier detection of subtle brain abnormalities and enhance BrainScores’ ability to develop innovative AI tools for neurological disease assessment and personalized brain health solutions.

Faculty Supervisor:

Ali Khan

Student:

Partner:

BrainScores

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

The University of Western Ontario

Program: