Abstract #3508

A Cascaded 3D CNN Approach for Thalamic Nuclei Segmentation

Lavanya Umapathy¹, Mahesh Bharath Keerthivasan^2,3, Natalie M Zahr⁴, and Manojkumar Saranathan^1,2,5

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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