Improving T2-Weighted TGSE-BLADE Liver Imaging via Model-Based Reconstruction with Self-Breathing Motion Correction

Motivation: While TGSE-BLADE T2W imaging reduces motion artifacts in liver MRI, conventional reconstructions remain affected by breathing-related issues. Goal(s): This study aims to integrate self-breathing motion correction into TGSE-BLADE T2W imaging during image reconstruction for improved liver image quality. Approach: Breathing motion information was extracted from each blade and incorporated into the forward and adjoint operators during reconstruction, effectively managing in-plane motion while minimizing artifacts. Results: The results showed that intra-TR displacements were relatively minor, while inter-TR displacements were more prominent, with blade movements of up to 8 pixels. These effects were well managed by the proposed reconstruction. Impact: This reconstruction method improves liver MRI by effectively managing breathing motion artifacts, enhancing diagnostic accuracy. It provides radiologists with clearer images, potentially reducing repeat scans and benefiting patients by minimizing the need for breath-hold techniques in routine imaging.