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Abstract #4987

General Formulas for Optimizing Two-Point Saturation-Recovery Measurements

Jung-Jiin Hsu1, Gary H. Glover2, Greg Zaharchuk2

1Department of Radiology, University of Miami School of Medicine, Miami, FL, United States; 2Lucas Center for Imaging, Stanford University, Stanford, CA, United States

Saturation-recovery (SR) method is a popular technique for the longitudinal relaxation rate measurement, in which the relaxation rate is derived from separate measurements of at least two different recovery times. An interesting and long-standing question in clinical applications is, given a limited amount of time, how the recovery times should be allocated to minimize the uncertainty of the measurement. In this work, a systematic Monte Carlo computation for the SR method is carried out and general formulas are derived to answer this question.