Keywords: Diffusion MRI, Tractography, Tractometry, Anomaly Detection, Autoencoder
TL;DR: We present a framework to learn normative microstructural brain features derived from diffusion MRI Tractometry for anomaly detection.
Track: short paper
Paper Type: both
Abstract: There is an urgent need for a paradigm shift from group-wise comparisons to individual diagnosis in diffusion MRI (dMRI) to enable the analysis of rare cases and clinically-heterogeneous groups. Deep autoencoders have shown great potential to detect anomalies in neuroimaging data. We present a framework that operates on the manifold of white matter (WM) pathways to learn normative microstructural features, and discriminate those at genetic risk from controls in a paediatric population.
Presentation Upload: zip
Presentation Upload Agreement: I agree that my presentation material (videos and slides) will be made public.