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

Min Cheng Pen, Min Chun Pan

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

A promising method to achieve rapid convergence for image reconstruction is introduced for the continuous-wave nearinfrared (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.

原文???core.languages.en_GB???
文章編號016014
期刊Journal of Biomedical Optics
15
發行號1
DOIs
出版狀態已出版 - 2010

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