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Abstract #1975

Lorentzian Probabilistic Sum based Z-Spectrum fitting approach for computing CEST and NOE contrast and its Comparison with Lorentzian Sum and Asymmetry Analysis

Ayan Debnath1 and Anup Singh1,2

1Centre for Bio-Medical Engineering, Indian Institute of Technology Delhi (IIT Delhi), New Delhi, India, 2Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, India, New Delhi, India

In this study, we proposed a Z-spectrum fitting method based upon Lorentzian Probabilistic Sum (LPS) for computing CEST and NOE contrast. Proposed fitting method was tested on multi-pool Z-spectra data acquired using simulations and from in-vivo human brain data at 7T. Proposed fitting results were compared with asymmetry analysis and another fitting method based on Linear Sum (LS) of Lorentzian functions. Results of this study show that both LPS and LS nicely fit z-spectra; however, LPS provide more accurate estimation of NOE and CEST contrast. Therefore, proposed LPS model can be used for improved estimation of separate CEST and NOE components.

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