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Related Experiment Video

Updated: Jan 15, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

A Comparison of Skeletal Muscle Diffusion Tensor Imaging Tractography Seeding Methods.

Bruce M Damon^1,2,3,4,5,6, Roberto Pineda Guzman¹, Carly A Lockard¹

¹Carle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, Illinois, USA.

NMR in Biomedicine

|October 16, 2025

Summary

This study compares three seeding methods for muscle fiber tractography using diffusion tensor imaging. Voxel-based seeding offers a robust, efficient alternative to boundary-based methods for analyzing muscle architecture.

Keywords:

DTI fiber‐tracking freeware muscle architecture simulation skeletal muscle

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Last Updated: Jan 15, 2026

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Published on: May 23, 2017

Area of Science:

Biomechanics
Medical Imaging
Musculoskeletal System

Background:

Muscle architecture significantly influences muscle function.
Diffusion tensor imaging (DTI)-based tractography is used to quantify muscle architecture.
Previous studies show tractography is sensitive to seed point selection methods.

Purpose of the Study:

To evaluate the sensitivity of DTI tractography outcomes to different seed point selection methods in skeletal muscle.
To compare aponeurosis boundary (APO), voxel-based (VXL), and edge (EDGE) seeding strategies.
To assess the accuracy, robustness, and efficiency of these seeding methods.

Main Methods:

Developed a simulated muscle architecture for method testing.
Implemented and compared APO, VXL, and EDGE seeding methods.
Applied methods to human skeletal muscle DTI datasets.

Main Results:

Updated APO seeding improved tract propagation accuracy and robustness.
VXL seeding methods produced quantification outcomes comparable to updated APO seeding.
VXL methods demonstrated potential for accelerated workflows in high-throughput analysis.

Conclusions:

Voxel-based seeding provides a reliable and efficient alternative for muscle architecture analysis using DTI tractography.
The VXL method may be advantageous for analyzing large multi-muscle datasets.
Further validation across diverse muscle architectures is recommended.