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September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

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

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UYUten YarachSASorravit AkrasirakulHMHendrik Mattern

Key Points

  • The new method improved liver MRI quality by effectively managing breathing motion artifacts, enhancing diagnostic accuracy.
  • Integration of self-breathing motion correction in tgse-blade t2-weighted imaging reduces the impact of motion artifacts.
  • Results indicated that inter-TR displacements were more significant, with movements up to 8 pixels successfully managed by the reconstruction.
  • This method minimizes reliance on breath-hold techniques, potentially reducing repeat scans for patients.

Abstract

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.

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Cite This Study

Yarach et al. (2025) studied this question.

synapsesocial.com/papers/68d45b0b31b076d99fa5cf13https://doi.org/10.58530/2025/0035
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