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Abstract #2826

Restoration of Missing or Erroneous Muscle Fiber Tracking Data Using Smoothed Polynomial Coefficients

Bruce Damon1,2, Melissa Hooijmans3, Carly Lockard1,2, and Xingyu Zhou2,4
1Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, United States, 2Carle Clinical Imaging Research Program, Carle Health, Urbana, IL, United States, 3Amsterdam University Medical Center, Amsterdam, Netherlands, 4Biomedical Engineering, Vanderbilt University, Nashville, TN, United States


Diffusion-tensor tractography is used to quantify functionally relevant muscle architectural variables, including fiber tract length, orientation, and curvature. However, image noise and artifacts cause positional errors in the fiber tracking points and may cause tracts to terminate prematurely. The effect of the points’ positional errors on estimates of muscle fiber curvature can be mitigated through the use of polynomial fitting. Here we test several approaches for smoothing the spatial field of polynomial fitting coefficients and reconstructing missing or shortened-length fiber tracts. We show that median filtering of the polynomial coefficients retains additional fiber tracts without altering the median architectural properties.

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