Automatic Segmentation of Thalamic Nuclei with STEPS Label Fusion
Jason Su 1,2 , Thomas Tourdias 2,3 , Manojkumar Saranathan 2 , and Brian Rutt 2
Electrical Engineering, Stanford University,
Stanford, CA, United States,
Stanford University, Stanford, CA, United States,
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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