What type of study is this?

This is a Quantitative Study study.

September 17, 2025

Estimate the effects of imaging gradients and gradient miscalibration on the b-matrix using an isotropic diffusion phantom

Key Points

Correction reduced the chi-squared error in fitting test data, improving findings for multi-site diffusion MRI.
Artifactually high fractional anisotropy was reduced by a factor of 21, indicating significant improvement in data accuracy.
Utilizing an isotropic diffusion phantom allows for effective correction of imaging gradient effects across different scanners and setups.
Methodology improves the consistency of diffusion MRI findings, enabling better inter-site comparison and reliability.

Abstract

Motivation: To achieve "harmonized" multi-site diffusion MRI (dMRI) results, it is important to account for differences in diffusion sensitization across scanners caused by imaging gradients and gradient miscalibration. Goal (s): To use a dMRI dataset on an isotropic phantom to measure the effects of imaging gradients and gradient miscalibration and correct both effects on another dMRI dataset. Approach: Use a mathematical model of b-matrix to fit contributions of imaging gradients and gradient miscalibration to a multi-shell dMRI dataset. Results: Our correction reduced the ² error in fitting test data, relative error in diffusivity, artifactually high fractional anisotropy by a factor of 21, 2, 6, respectively. Impact: Our method can be used to account for the effects of imaging gradients and gradient miscalibration on different scanners and sites and should help harmonizing multi-site diffusion MRI data.

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