Keywords: CEST / APT / NOE, CEST / APT / NOE, Brown Adipose Tissue, Creatine, Keyhole Reconstruction
Motivation: Quantifying creatine metabolism in perirenal fat offers insights into adipose tissue's role in energy regulation and metabolic disorders, but respiratory motion and organ displacement make reliable imaging challenging.
Goal(s): To develop a motion-robust method for accelerated CEST MRI quantification of creatine in perirenal fat.
Approach: Integrated three 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 method achieved 4 times reduction in scan time while maintaining measurement accuracy, with no significant differences (p>0.05) in CrCEST effects compared to conventional full k-space acquisition.
Impact: This novel integration of motion correction techniques with accelerated acquisition enables motion-robust in vivo CrCEST imaging of perirenal fat, potentially advancing our understanding of adipose tissue metabolism in obesity-related disorders while significantly reducing patient scan times.
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