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BRAIN

Method for Combining Information from White Matter Fiber Tracking and Gray Matter Parcellation

Hae-Jeong Parka,b,d, Marek Kubickia,b, Carl-Fredrik Westinb,c, Ion-Florin Talosc, Anders Brunb, Steve Peiperb, Ron Kikinisb,c, Ference A. Joleszb,c, Robert W. McCarleya and Martha E. Shentona,b

a Clinical Neuroscience Division, Laboratory of Neuroscience, Boston VA Health Care System—Brockton Division, Department of Psychiatry, Harvard Medical School, Boston, MA
b the Surgical Planning Laboratory, MR Imaging Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
c the Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
d the Department of Diagnostic Radiology, Yonsei University, College of Medicine, Seoul, Korea

Address correspondence to Martha E. Shenton, PhD, Department of Psychiatry, 116A, VA Boston Healthcare System—Brockton Division, Harvard Medical School, 940 Belmont Street, Brockton, MA 02301

Summary: We introduce a method for combining fiber tracking from diffusion-tensor (DT) imaging with cortical gray matter parcellation from structural high-spatial-resolution 3D spoiled gradient-recalled acquisition in the steady state images. We applied this method to a tumor case to determine the impact of the tumor on white matter architecture. We conclude that this new method for combining structural and DT imaging data is useful for understanding cortical connectivity and the localization of fiber tracts and their relationship with cortical anatomy and brain abnormalities.