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Abstract #3508

A Cascaded 3D CNN Approach for Thalamic Nuclei Segmentation

Lavanya Umapathy1, Mahesh Bharath Keerthivasan2,3, Natalie M Zahr4, and Manojkumar Saranathan1,2,5
1Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Department of Medical Imaging, University of Arizona, Tucson, AZ, United States, 3Siemens Healthcare USA, Tucson, AZ, United States, 4Department of Psychiatry & Behavioral Sciences, Stanford University, Menlo Park, CA, United States, 5Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States

We propose the use of conventional MPRAGE images to synthesize WMn-MPRAGE images for thalamic nuclei segmentation. We compare thalamic nuclei segmentation performance on the synthesized WMn images to those directly on CSFn-MPRAGE. We also validate the clinical utility of our method by analyzing differences in thalamic nuclei volumes between patients with alcohol use disorder (AUD) and age-matched healthy controls using conventional MPRAGE data.

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