Abstract #5306

Univariate and multivariate individual-specific tract-based spatial statistics (iTBSS) for white matter microstructure anomaly detection

Jose Guerrero-Gonzalez¹, Jothi Venkatesh², Peter Ferrazzano³, and Andrew Alexander¹

¹Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, ²Department of Physics, The Clatterbridge Cancer Centre NHS Foundation Trust, University of Liverpool, Liverpool, United Kingdom, ³Pediatrics, University of Wisconsin - Madison, Madison, WI, United States

Synopsis

Keywords: Neuro, Traumatic brain injury, Precision MedicineTract-based spatial statistics (TBSS) is a voxel-based analysis (VBA) method for diffusion MRI (dMRI) data along a skelentonized representation of the brain white matter. When applied to group-level analyses of dMRI data, TBSS has been shown to improve sensitivity, objectivity, and interpretability. In this work, we introduce individual-specific tract-based spatial statistics for anomaly detection in white matter micro-structure. Results from implementation on severe pediatric TBI brains reveal heterogenous patterns of atypical white matter.

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