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Abstract #4601

Motion-robust accelerated in-vivo CEST MRI of liver with keyhole k-space acquisition

Zoheb Ahasan1, Mehran Shaghaghi2, Zimeng Cai3, and Kejia Cai2
1Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Radiology, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, China

Synopsis

Keywords: Image Reconstruction, Sparse & Low-Rank Models, CEST, Motion Correction

Motivation: CEST MRI in liver faces significant challenges due to respiratory motion and vascular pulsation artifacts, with traditional respiratory gating proving insufficient for reliable metabolite quantification.

Goal(s): To develop a robust motion correction method for accelerated CEST MRI acquisition in the liver region.

Approach: Combined three key techniques: Savitzky-Golay filtering for spectral smoothing, Low-Rank Approximation of Z-spectra (LRAZ) for motion correction, and keyhole k-space reconstruction for faster acquisition.

Results: The integrated approach achieved overall Z-spectral stability with improved quality, enabling reliable CEST quantification while maintaining shorter scan times through accelerated acquisition.

Impact: This novel integration of motion correction techniques with accelerated acquisition enables motion-robust CEST imaging in the liver region, advancing our ability to study hepatic metabolism non-invasively while significantly reducing scan times in challenging anatomical regions.

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Keywords