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• W2149431040 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." @default.
• W2149431040 created "2016-06-24" @default.
• W2149431040 creator A5063102854 @default.
• W2149431040 creator A5089636046 @default.
• W2149431040 date "2010-01-01" @default.
• W2149431040 modified "2023-10-16" @default.
• W2149431040 title "Rapid convergence to the inverse solution regularized with Lorentzian distributed function for near-infrared continuous wave diffuse optical tomography" @default.
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• W2149431040 doi "https://doi.org/10.1117/1.3299727" @default.
• W2149431040 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20210460" @default.
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