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Abstract #4592

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

Yi Li1, Liyuan Liang1,2, Shihui Chen1,2, Xiaorui Xu1, Chenglang Yuan1, Hailin Xiong1, Tianbaige Liu1, Mei-Lan Chu3, Hsiao-Wen Chung3, Nan-Kuei Chen4, and Hing-Chiu Chang1,2
1The Chinese University of Hong Kong, Hong Kong, China, 2Multi-Scale Medical Robotics Center, Hong Kong, China, 3National Taiwan University, Taiwan, Taiwan, 4University of Arizona, Tucson, AZ, United States

Synopsis

Keywords: Motion Correction, Image Reconstruction

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.

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