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 .