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Abstract #4547

Cerebellar GM-WM Segmentation Accuracy in Assessing Brain Atrophy

Sushmita Datta1, Xiaojun Sun1, Ponnada A. Narayana1

1Diagnostic & Interventional Imaging, Medical School, the University of Texas Health Science Center at Houston, Houston, TX, United States

Cerebellar atrophy is implicated in a number of neurological disorders. Accurate gray matter (GM) and white matter (WM) segmentation of cerebellum is important for accurate assessment of GM and WM atrophies and their correlation with clinical measures. We have developed a fully automated segmentation technique and applied to brain MRI. The segmentation results obtained with our technique were compared with those obtained with SPM, Freesurfer, and FAST. The results suggest the superior performance of our method compared to the other three.