All the simulated results were generated and see more processed using MATLAB (Mathworks, Natick, MA, USA). The Bloch–McConnell equations for a two-pool model (water and amine protons labeled as pool w and labile, respectively) were used to stimulate z-spectra, assuming a field strength of 4.7 T. A pulsed saturation scheme of 50 Gaussian pulses with flip angle (FA) of 180° and 50% duty cycle (DC) was considered,

where each pulse had total duration 40 ms, Tpd (Gaussian pulse + inter-pulse delay). The saturation was performed from −3.8 to 3.8 ppm (−760 to 760 Hz at 4.7 T) with 0.19 ppm (38 Hz) increments. To model pulsed saturation, the discretization method was used with each Gaussian pulse discretized into 1024 segments. Crusher gradients with alternating

signs, assumed to have been applied during the inter-pulse delays, were modeled by setting the transverse magnetization to zero at the end of the inter-pulse period. The readout was performed after all the Gaussian pulses had been applied. The equivalent AF and AP of the Gaussian pulses were calculated using the following Obeticholic Acid research buy formulas [33]: AF=1/t∗∫0tB1dt and AP=(1/t∗∫0tB12dt), where t is equivalent to the Tpd defined above and B1 is the RF power amplitude. The continuous z-spectrum was simulated using the continuous saturation solution for 2 s, equivalent to the total saturation time of pulsed-CEST (50 pulses × 0.04 s/pulse). The remaining variables in the model were set according to published values: longitudinal relaxation times, T1w = 3 s, T1labile = 1 s; transverse relaxation times, T2w = 60 ms, T2labile = 8.5 ms [34]; amine proton exchange rate, Clabile = 50 s−1; amine proton concentration, Mlabile0 = 0.33 M and water proton concentration, Mw0 = 100 M (equivalent to 0.0033 for the proton concentration ratio,

Mlabile0/Mw0). The computational time required to compute a z-spectrum using the discretization method is correlated with the number of segments used to generate a discrete approximation to the pulse shape. In order to aid the comparison of the discretized and continuous approximation for model fitting, the minimum number of segments, N, required for the former was investigated to minimize the processing time. The pulsed CEST effect depends on the pulsed parameters used (FA, Tpd, DC and pulse shape). A range of parameter values was simulated: FA varied from 60° to 300° with intervals of 60°, Tpd = 20, 40, 80, Cediranib (AZD2171) 100 and 200 ms, and DC changed from 0.3 to 0.8 with 0.1 increments. The rest of the parameters used were the same as above. The Gaussian pulse was discretized into 2n segments (n = 1 to 10) and the 1024 segment result was used as the benchmark. Root mean square (RMS) error between the spectra generated using the reduced number of segments and the benchmark was calculated; the smallest number of segments which had a normalized RMS error smaller than 0.1%, was chosen as N for that set of pulsed parameters. Tissue-like phantoms were prepared according to Sun et al.