Self-Navigated, Retrospective, Data-Consistent Motion Correction for MPnRAGE.

ABSTRACT:

Purpose

To extend and automate a data-consistent, self-navigated motion-correction method for 3D radial T1-weighted imaging.

Methods

This method incorporated rigid-body motion effects into the forward model, solving for parameters that maximize consistency with the data. The method was tested on five datasets with a range of motion types and severities. A separate collection of datasets was used to study the effect that the method has on the test-retest reliability of cortical thickness estimates.

Results

Image quality was improved across a wide range of distinct motion types, including some cases that would have been unusable if left uncorrected. The error-based weighting scheme and the increased timing resolution afforded by the proposed method were especially usefu

SUBMITTER: Podczerwinski J 

PROVIDER: S-EPMC12631670 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature