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Abstract #3497

Investigation of brain segmentation with FIRST by using different hybrid contrasts and registrations

Xiang Feng 1 , Andreas Deistung 1 , Ferdinand Schweser 2,3 , Daniel Guellmar 1 , and Juergen R. Reichenbach 1

1 Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 2 Buffalo Neuroimaging Analysis Center, Dept. of Neurology, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, United States, 3 MRI Molecular and Translational Imaging Center, Buffalo CTRC, State University of New York at Buffalo, Buffalo, NY, United States

Image contrast and registration are two important issues that determine the success of FMRIB's Integrated Registration and Segmentation Tool (FIRST). The purpose of this study was to investigate automated segmentation of deep gray matter nuclei using FIRST depending on image contrast and registration accuracy of the individual data to MNI space.

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