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Journal of Biomedical Optics • Open Access

Rapid convergence to the inverse solution regularized with Lorentzian distributed function for near-infrared continuous wave diffuse optical tomography

Paper Abstract

A promising method to achieve rapid convergence for image reconstruction is introduced for the continuous-wave near-infrared (NIR) diffuse optical tomography (DOT). Tomographic techniques are usually implemented off line and are time consuming to realize image reconstruction, especially for NIR DOT. Therefore, it is essential to both speed up reconstruction and achieve stable and convergent solutions. We propose an approach using a constraint based on a Lorentzian distributed function incorporated into Tikhonov regularization, thereby rapidly converging a stable solution. It is found in the study that using the proposed method with around five or six iterations leads to a stable solution. The result is compared to the primary method usually converging in ~25 iterations. Our algorithm rapidly converges to stable solution in the case of noisy (>20 dB) detected intensities.

Paper Details

Date Published: 1 January 2010
PDF: 11 pages
J. Biomed. Opt. 15(1) 016014 doi: 10.1117/1.3299727
Published in: Journal of Biomedical Optics Volume 15, Issue 1
Show Author Affiliations
Min-Cheng Pan, Tung Nan Institute of Technology (Taiwan)
Min-Chun Pan, National Central Univ. (Taiwan)

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