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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