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Background: Diffusion tensor imaging (DTI) has been used to characterizeforearm muscle architecture. Since only uniform sampling is performed for seedpoints rather than fiber tracts, the tracts may be unevenly distributed in themuscle volume. Purpose: To reconstruct uniformly distributed fiber tracts inhuman forearm by filtering the tracts from DTI. Assessment: Farthest streamlinesampling (FSS) was proposed for filtering and compared with two conventionalmethods, i.e., two-dimensional sampling and three-dimensional sampling. Theuniform coverage performance of the methods was evaluated by streamlinecoverage (SC) and the coefficient of variation of streamline density (SDCV).Architectural parameters were calculated for 17 forearm muscles. Anatomicalcorrectness was verified by 1. visually assessing the fiber orientation, 2.checking whether the architectural parameters were within physiological ranges,and 3. classifying the architectural types. Results: FSS had the highest SC(0.93+0.04) and the lowest SDCV (0.34+0.06) among the three methods (P<0.05).FSS reduced the sampling of long tracts (10% reduction in fiber length,P<0.05), and the architectural parameters were within physiological ranges (twoparameters with P<0.05). The fiber orientation of the tractography was visuallyconsistent with that of the cadaveric specimen. The architectural types of 16muscles were correctly classified, except for the palmaris longus, which had alinear arrangement of fiber endpoints (R2=0.95+0.02, P<0.001). Data Conclusion:FSS reconstructed more muscle regions and uniformly distributed fiber tracts.The tracts were anatomically correct, indicating the validity of fiber tracts.Key Words: diffusion tensor imaging; forearm muscles; architectural properties

Farthest Streamline Sampling for the Uniform Distribution of Forearm Muscle Fiber Tracts from Diffusion Tensor Imaging