Abstract #4593

Self-navigated motion-correction renal CEST-MRI (SNMC-CEST) under free breathing on 3 T

Quan Tao^1,2,3, Zelong Chen⁴, Wenyan Zhang^2,3,5, Yizhe Zhang^2,3,5, Yikai Xu⁴, and Yanqiu Feng^1,2,3,5

¹Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China, ²Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, ³Guangdong Provincial Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China, ⁴Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, ⁵School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Synopsis

Keywords: Motion Correction, CEST / APT / NOE

Motivation: Respiration motion can induce in-accurate quantization of CEST signal, which may hindering the clinical application of CEST-MRI for nephropathy detection.

Goal(s): We aimed to develop a stable renal CEST-MRI method employing self-navigated motion-correction (SNMC) without the need for breath holds.

Approach: The respiratory motion signal from the center data of golden-angle radial sampling was used to split the motion states, the motion fields obtained by elastic registration are used for the final reconstruction of the CEST images.

Results: Compared to the motion-average CEST images, SNMC-CEST images exhibited reduced motion artifacts, clearer margins of the kidneys, and high repeatability of CEST signal.

Impact: This study may provide a stable renal CEST-MRI method for patients with nephropathy under free breathing, and improving the accuracy of injury detection.

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