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Abstract #4306

Automatic Segmentation of Thalamic Nuclei with STEPS Label Fusion

Jason Su 1,2 , Thomas Tourdias 2,3 , Manojkumar Saranathan 2 , and Brian Rutt 2

1 Electrical Engineering, Stanford University, Stanford, CA, United States, 2 Radiology, Stanford University, Stanford, CA, United States, 3 Neuroradiology, Bordeaux University Hospital, Bordeaux, Drme, France

Automatic segmentation of thalamic nuclei using a high resolution study-specific template and label fusion is surveyed in a pilot study of multiple sclerosis at 7T. The template is created from 17 subjects (6 controls, 11 patients) via ANTS and the white matter nulled MPRAGE contrast shown recently by Tourdias et al. The STEPS algorithm by Cardoso et al. is employed to segment a new patient using manual delineations of 6 controls. Performance in this single case is comparable to other published methods that require DTI. The Dice coefficients for whole thalamus (0.87), pulvinar (0.77), and mediodorsal nucleus (0.71) were notable.

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