Abstract #3450

Multiscale Low Rank Matrix Decomposition for Reconstruction of Accelerated Cardiac CEST MRI

Ilya Chugunov¹, Wissam AlGhuraibawi², Kevin Godines², Bonnie Lam², Frank Ong³, Jonathan Tamir^1,4, and Moriel Vandsburger²

¹Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, United States, ²Bioengineering, University of California, Berkeley, Berkeley, CA, United States, ³Electrical Engineering, Stanford University, Stanford, CA, United States, ⁴Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, United States

Multiscale low rank reconstruction has been demonstrated to efficiently reconstruct non-gated dynamic MRI by leveraging sparsity in the time domain. This abstract demonstrates its ability to reconstruct 4-fold accelerated CEST imaging of the heart via similarly exploiting sparsity in the Z-spectrum domain. This reconstruction outperforms zero-filled IFFT for quantization of magnetization transfer, nuclear overhauser, and CEST effects as derived from Lorentzian-line-fit analysis. Extension to volumetric or motion inclusive CEST imaging and development of a new regularization function may enable further acceleration.

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