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Abstract #4260

Analyzing the Minimum Discretization of Pulses Required to Speed Up Model-Based Analysis for Pulsed CEST

Yee Kai Tee1, Alexandr A. Khrapichev2, Manus J. Donahue3, Nicola R. Sibson2, Stephen J. Payne1, Michael A. Chappell1, 4

1Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, Oxfordshire, United Kingdom; 2Department of Oncology, CR-UK/MRC Gray Institute for Radiation Oncology & Biology, University of Oxford, Oxford, Oxfordshire, United Kingdom; 3School of Medicine, Vanderbilt University, Nashville, TN, United States; 4Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, Oxfordshire, United Kingdom

Discretizing the Gaussian pulses in pulsed CEST has been used recently as a way to calculate stimulated spectra. So far, different number of discrete intervals has been applied to perform the task. Since the number of intervals correlates directly to the computational time required, it is important to use the minimal discretization for efficient processing. In this study, simulations were used to calculate the minimal intervals required across a range of pulse parameters and the optimal values were then used to fit both In Vitro and in vivo data. Excellent fits were found with minimum processing time.