Robust Free-breathing Abdominal Fast Spin-Echo MRI Enabled by Improved Repeated k-t-subsampling and Artifact Minimization (iReKAM)

Motivation: Motion artifacts in free-breathing abdominal T2-weighted MRI can limit image clarity. Current bootstrapping-based technique has limitation in fully compensating for motion artifacts, highlighting a need for further development. Goal(s): The primary goal was to enhance image quality in a free-breathing abdominal T2-weighted MRI technique, aiming for improving the robustness in reducing motion artifacts. Approach: We developed an improved algorithm named iReKAM and acquired the repeated k-t-space data with phase encoding along RL, both of which contributed to effectively minimizing local motion artifacts. Results: iReKAM shows better robustness in producing high-quality free-breathing abdominal images. Impact: iReKAM can enhance motion compensation performance in free-breathing abdominal T2-weighted MRI, resulting in higher robustness and image quality. This improvement is particularly beneficial for accurate diagnosis, as it can enable higher-quality free-breathing imaging for challenging patients.

Authors

Publication Details

Journal
Proceedings 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 Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4592
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Robust Free-breathing Abdominal Fast Spin-Echo MRI Enabled by Improved Repeated k-t-subsampling and Artifact Minimization (iReKAM)

Hing‐Chiu Chang, Hailin Xiong, Liyuan Liang, Nan‐kuei Chen et al.
Proceedings 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 Exhibition
Advanced MRI Techniques and Applications
article

Robust Free-breathing Abdominal Fast Spin-Echo MRI Enabled by Improved Repeated k-t-subsampling and Artifact Minimization (iReKAM)

Hing‐Chiu Chang, Hailin Xiong, Liyuan Liang, Nan‐kuei Chen, Hsiao‐Wen Chung, Xiaorui Xu, Tian Liu, Yi Li, Shihui Chen, Chenglang Yuan, Mei‐Lan Chu
article en

Abstract

Motivation: Motion artifacts in free-breathing abdominal T2-weighted MRI can limit image clarity. Current bootstrapping-based technique has limitation in fully compensating for motion artifacts, highlighting a need for further development. Goal(s): The primary goal was to enhance image quality in a free-breathing abdominal T2-weighted MRI technique, aiming for improving the robustness in reducing motion artifacts. Approach: We developed an improved algorithm named iReKAM and acquired the repeated k-t-space data with phase encoding along RL, both of which contributed to effectively minimizing local motion artifacts. Results: iReKAM shows better robustness in producing high-quality free-breathing abdominal images. Impact: iReKAM can enhance motion compensation performance in free-breathing abdominal T2-weighted MRI, resulting in higher robustness and image quality. This improvement is particularly beneficial for accurate diagnosis, as it can enable higher-quality free-breathing imaging for challenging patients.

Proceedings 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 Exhibition
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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Robust Free-breathing Abdominal Fast Spin-Echo MRI Enabled by Improved Repeated k-t-subsampling and Artifact Minimization (iReKAM) — Hing‐Chiu Chang, Hailin Xiong, et al. · Proceedings 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 Exhibition (2025) | TGRS Research Map | TGRS