Integration of hippocampal subfield measurements into a streamlined MRI volumetry pipeline using deep learning

The hippocampus is a small brain region that has a key role in brain diseases including Alzheimer’s and epilepsy. The measurement of hippocampal volume on MRI is important for the diagnosis of these diseases, but this is a complex task because it is a small structure. Further, the hippocampus is divided in sub-regions that are impacted differently by the diseases. This project aims to use artificial intelligence technology to rapidly and reliably measure all sub-regions of the hippocampus and develop this as a clinical tool that could be used in hospitals and clinics.

Faculty Supervisor:

Mallar Chakravarty


Swapna Premasiri


Arctic Fox AI


Engineering - biomedical


Professional, scientific and technical services


McGill University



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