Abstract #2708

A comparison of structural and diffusion-based MRI thalamus segmentation methods

Charles Iglehart¹, Martin Monti^2,3, Joshua A. Cain², and Manojkumar Saranathan^1,4

¹Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, ²Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States, ³Department of Neurosurgery Brain Research Center, University of California, Los Angeles, Los Angeles, CA, United States, ⁴Department of Medical Imaging, University of Arizona, Tucson, AZ, United States

Automatic thalamus segmentation is a field of study with rapidly evolving applications. Both structural and diffusion weighted MRI can be used to drive parcellations of thalamus nuclei. In this study we present a comparison of leading structural and DWI-based segmentation techniques as implemented on a common set of subject datasets. Results for each are compared, both against an established anatomical atlas and each other. Spatial consistency of nuclei are examined in common template space. Finally, strengths and weaknesses of both techniques are discussed.

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