Model-Resolution based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging

Matlab Codes* : (requires NIRFAST)

#Matlab Implementation of SVD based Basis Pursuit Deconvolution Algorithm (proposed): reconstruct_cw_bpd_fast_svd.m*** (requires SVD based salsa algorithm: bpd_salsa_sparsemtx_fast_svd.m**)

#Matlab Implementation of standard Basis Pursuit Deconvolution Algorithm: reconstruct_cw_bdp.m*** (requires salsa algorithm: bpd_salsa_sparsemtx.m**)

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

Jaya Prakash, Hamid Dehghani, Brian W. Pogue and Phaneendra K. Yalavarthy, “Model-Resolution based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging," IEEE Transactions on Medical Imaging, 33(4), 891-901 (2014).

Created on: Apr 25, 2013

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

** Adapted from Sparsity in Signal Processing Toolbox (Version: 1)

*** GCV method was adapted from Regularization Tools (Version: 4)