Predicted effects of image acquisition and analysis conditions on DTMRI tractography-based muscle architecture estimates.

ABSTRACT:

Purpose

To quantify the effects of the intrinsic signal pattern, image acquisition conditions, and data analysis conditions on diffusion-tensor MRI (DTMRI) tractography-based muscle architecture estimates using a sampling-reconstruction assessment framework.

Methods

Numerical models of muscles were constructed with realistic architectural properties. DTMRI signals were computed at signal-to-noise ratio (SNR) of 24-96 and common voxel sizes. Fiber tracking was performed, and the results were compared with the known architectural properties.

Results

SNR exerted the most significant impact on the outcome. The outcome variables approached asymptotes at SNR ≈ 54. Large in-plane voxel dimensions reduced the similarity between reconstructed fibers and the known architectural

SUBMITTER: Zhou X 

PROVIDER: S-EPMC11279512 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature