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Abstract #1438

Z-Spectrum Fitting for CEST Contrast Computation in In Vivo Myocardium Tissue

Anup Singh1, Mohammad Haris1, Kejia Cai1, Feliks Kogan1, Walter R.T. Witschey1, 2, Gerald A. Zsido2, Jeremy McGarvey2, Ravi Prakash Reddy Nanga1, Francisco Contijoch3, James J. Pilla, Joseph H. Gorman2, Victor A. Ferrari4, Hari Hariharan1, Robert C. Gorman2, Ravinder Reddy1

1CMROI, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States; 2Department of Surgery, University of Pennsylvania, Philadelphia, PA, United States; 3Bioengineering, University of Pennsylvania, Philadelphia, PA, United States; 4Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States


Objective of current study was to address the challenges associated with CEST contrast computation through conventional asymmetry analysis in in vivo myocardium tissues particularly due to fluctuating B0 inhomogeneity (~[-0.2, 0.2]ppm), motion artifacts and low SNR. To address these challenges we adopted an approach of fitting z-spectra data with a function of Lorentzian functions. It is demonstrated that this approach mitigates artifacts due to motion and B0 fluctuations and enables the CEST contrast computation in in vivo myocardium data. Moreover, there is no need for acquire B0 field inhomogeneity correction as the center of water resonance is one of the parameters in fitting function.