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Abstract #1140

Impact of diffusion tractography tracking parameters and smoothing polynomial order on muscle fiber measurements

Carly Anne Lockard1,2, Melissa T Hooijmans3, Xingyu Zhou2,4, and Bruce M Damon1,2
1Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, United States, 2Carle Clinical Imaging Research Program, Carle Health, Urbana, IL, United States, 3Department of Radiology and Nuclear Medicine, Amsterdam Movement Sciences, Amsterdam University Medical Center, Amsterdam, Netherlands, 4Biomedical Engineering, Vanderbilt University, Nashville, TN, United States


Diffusion-tensor MRI tractography has been applied to characterize muscle diffusion properties and architecture. Tract propagation is performed using various propagation algorithms, settings, and step sizes. Smoothing, such as by polynomial fitting, has been shown to reduce tract path errors due to noise. Optimal settings for tracking algorithm, parameters, and order of subsequent smoothing polynomials have not been established. This work examines the effect of tracking algorithm settings, step size, and polynomial order on muscle architecture and diffusion estimates and polynomial fit residuals behavior. Results emphasize the high sensitivity of curvature estimates to smoothing polynomial order.

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