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Abstract #2697

Z Spectral Analysis for the Quantification of Multiple Slow-Exchanging Metabolites

Kejia Cai1, Anup Singh1, Mohammad Haris1, Ravi Prakash Reddy Nanga1, Ranjit Ittyerah1, Damodar Reddy1, Harish Poptani1, Hari Hariharan1, Ravinder Reddy1

1University of Pennsylvania, Philadelphia, PA, United States

This conventional quantification method may be confounded by the intrinsic magnetic transfer ratio (MTR) asymmetry as well as the Nuclear Overhauser Effect (NOE) effect. To decouple these confounding effects, we demonstrate a comprehensive Lorentzian fitting of Z spectra in brain tumor for the quantification of multiple slow-exchanging metabolites contributing to Z spectrum acquired with low RF saturating amplitude. Results show an increased amide proton transfer (APT) integral and a decreased CEST integral at 2ppm in tumor compared to normal brain tissue. The novel Z spectral analysis method may be used for differentiating tumor metabolic profile from normal tissue.