Tractometry-based Anomaly Detection for Single-subject White Matter Analysis

Maxime Chamberland, Sila Genc, Erika P. Raven, Greg D. Parker, Adam Cunningham, Joanne Doherty, Marianne van den Bree, Chantal M. W. Tax, Derek K. Jones

Jan 25, 2020 Blind Submission readers: everyone Show Bibtex
  • 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.
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