Abstract #3240

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

Martijn Froeling^1,2, 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.