Research Article
Optimal Experiment Design for Monoexponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging
Algorithm 1
Pseudo-algorithm to evaluate an experiment design.
Data: , , , , , and , number of Monte Carlo trials. | Result: Mean value and standard deviation of and | (i) Choose an algorithm ED/GCRLB/D-opt. to assign . | (ii) Set . | for to do | (i) Add Rician distributed noise to s to obtain SNR = ; | (ii) Compute the unknown parameters and ; | (iii) Record the mean value and standard deviation of and . |
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