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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