An Efficient Gradient-Free Simplex Method for Image-Guided Diffuse Optical Tomography

An Efficient Gradient-Free Simplex Method for Image-Guided Diffuse Optical Tomography

Matlab Codes* : (Requires Nirfast-7.1):

#Program for hard priors image reconstruction:- reconstruct_stnd_cw_region.m

#Program for Nelder-Mead Simplex Algorithm based image reconstruction:-

Main Reconstruction Function: reconstruct_cw_Opt_HardPrior.m

Objective Function: ObjectiveFunction_Opt_HardPrior.m

Nelder-Mead Simplex Algorithm: NelderMeadSimplexMethod.m

This Matlab code is used as part of the work presented in:

Ravi P. K. Jagannath and Phaneendra K. Yalavarthy, “An Efficient Gradient-Free Simplex Method for Estimation of Optical Properties in Image-Guided Diffuse Optical Tomography," Journal of Biomedical Optics18(3), 030503 (2013).

Created on: Dec 10, 2012

* The code does not come with any guarantees and can be freely used for any purpose.