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Journal of Biomedical Optics

Minimal residual method provides optimal regularization parameter for diffuse optical tomography
Author(s): Ravi Prasad K. Jagannath; Phaneedra K. Yalavarthy
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Paper Abstract

The inverse problem in the diffuse optical tomography is known to be nonlinear, ill-posed, and sometimes under-determined, requiring regularization to obtain meaningful results, with Tikhonov-type regularization being the most popular one. The choice of this regularization parameter dictates the reconstructed optical image quality and is typically chosen empirically or based on prior experience. An automated method for optimal selection of regularization parameter that is based on regularized minimal residual method (MRM) is proposed and is compared with the traditional generalized cross-validation method. The results obtained using numerical and gelatin phantom data indicate that the MRM-based method is capable of providing the optimal regularization parameter.

Paper Details

Date Published: 10 October 2012
PDF: 7 pages
J. Biomed. Opt. 17(10) 106015 doi: 10.1117/1.JBO.17.10.106015
Published in: Journal of Biomedical Optics Volume 17, Issue 10
Show Author Affiliations
Ravi Prasad K. Jagannath, Indian Institute of Science (India)
Phaneedra K. Yalavarthy, Indian Institute of Science (India)

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