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Abstract #2877

Comparison of Brain Segmentation Results Using Automated FSL-FAST with DTI Channel Inputs

Elizabeth Zakszewski1,2, Deok Han1, Jee Eun Lee1, Vikas Singh1, Andrew L. Alexander1,2

1Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI, USA; 2Dept. of Medical Physics, University of Wisconsin, Madison, WI, USA

The performance of the FSL-FAST algorithm for segmenting brain tissue from DTI data is evaluated in comparison with hand-drawn white matter segmentations. Various ways of combining different DTI parameter maps with FSL's built-in option are compared and evaluated.