Motion-robust $$ {\mathrm{T}}_2^{\ast } $$ quantification from low-resolution gradient echo brain MRI with physics-informed deep learning.

ABSTRACT:

Purpose

T2∗$$ {\mathrm{T}}_2^{\ast } $$ quantification from gradient echo magnetic resonance imaging is particularly affected by subject motion due to its high sensitivity to magnetic field inhomogeneities, which are influenced by motion and might cause signal loss. Thus, motion correction is crucial to obtain high-quality T2∗$$ {\mathrm{T}}_2^{\ast } $$ maps.

Methods

We extend PHIMO, our previously introduced learning-based physics-informed motion correction method for low-resolution T2∗$$ {\mathrm{T}}_2^{\ast } $$ mapping. Our extended version, PHIMO+, utilizes acquisition knowledge to enhance the reconstruction performance for challenging motion patterns and increase PHIMO's robustness to varying strengths of magnetic field inhomogeneities across the brain. We perform com

SUBMITTER: Eichhorn H 

PROVIDER: S-EPMC12620166 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature