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Abstract #3240

Improvements in DTI and Muscle Fiber Tractography of the Human Forearm Using Rician Noise Supression and B0-Field Corrections

Martijn Froeling1,2, Dennis F. Heijtel1, Arno Lataster3, Maarten Drost3, Klaas Nicolay1, Aart J. Nederveen2, Gustav J. Stijkers1

1Biomedical NMR, Department of Biomedical Engineering,, Eindhoven University of Technology, Eindhoven, Netherlands; 2Department of Radiology, Academic Medical Center, Amsterdam, Netherlands; 3Department of Human Movement Sciences, Maastricht University, Maastricht, Netherlands

Diffusion tensor imaging with minimized scan time was preformed. The diffusion-weighted images were filtered using a recursive linear minimum mean-square-error estimator and field-inhomogeneity related deformations in the EPI images were corrected. This approach allows for accurate fiber tractography of human forearm muscles based on a single seeding ROI drawn in high resolution T1 weighted images.