Abstract #3591

Robust thalamic nuclei segmentation from T1 MRI data

Julie P. Vidal^1,2, Lola Danet^2,3, Patrice Péran², Jérémie Pariente^2,3, Dolf Pfefferbaum⁴, Edith Sullivan⁴, Emmanuel J. Barbeau¹, and Manojkumar Saranathan⁵

¹CNRS, CerCo (Brain and Cognition Research Center) - Université Paul Sabatier, Toulouse, France, ²INSERM, ToNiC (Toulouse NeuroImaging Center) - Université Paul Sabatier, Toulouse, France, ³Hôpital Purpan, Centre Hospitalier Universitaire de Toulouse, Département de Neurologie, Toulouse, France, ⁴Stanford University School of Medicine, Department of Psychiatry & Behavioral Sciences, Stanford, CA, United States, ⁵UMass Chan Medical School, Department of Radiology, Worcester, MA, United States

Synopsis

Keywords: Segmentation, Data Processing, WMn synthesis, HIPSThis work presents a methodology for thalamic nuclei segmentation from T1w MRI. Thalamus Optimized Multi-Atlas Segmentation (THOMAS), which was originally developed for white-matter nulled (WMn) MPRAGE, is adapted for standard T1 MRI by employing synthesis techniques to make the T1 images closer to WMn contrast. Robustness is tested across image contrast, MRI manufacturer, and field strength.

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