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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