Kyoko Fujimoto1, Lawrence L. Wald2, 3, Jonathan R. Polimeni2
1Department of Neurology, Weill Cornell Medical College, New York, NY, United States; 2Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States; 33Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
Automatic cortical surface reconstructions enable quantitative morphometric analyses of brain anatomy. Most reconstructions are derived from T1-weighted data, however changes to the acquisition protocol or imaging hardware can induce changes to image contrast or geometry. Therefore, quantitative parameter maps may provide more robust quantification. Here we demonstrate cortical surface reconstructions computed directly from the T1 map produced using the MP2RAGE method. We compare these reconstructions to those from a T1-weighted MP2RAGE and a multi-echo MPRAGE and find that the T1 map may provide a more accurate or robust segmentation of the white matter than the MP2RAGE T1-weighted data alone.