Abstract #2877

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

Elizabeth Zakszewski^1,2, Deok Han¹, Jee Eun Lee¹, Vikas Singh¹, Andrew L. Alexander^1,2

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.