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Optical imaging of phantoms from real data by an approximately globally convergent inverse algorithm

A numerical method for an inverse problem for an elliptic equation with the running source at multiple positions is presented. This algorithm does not rely on a good first guess for the solution. The so-called "approximate global convergence" property of this method is shown here. The performance of the algorithm is verified on real data for Diffusion Optical Tomography. Direct applications are in near-infrared laser imaging technology for stroke detection in brains of small animals.

preprint2012arXivOpen access
Jianzhong SuMichael V. KlibanovYueming LiuZhijin LinNatee PantongHanli Liu
math-phmath.MP
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Open access6 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Jianzhong SuMichael V. KlibanovYueming LiuZhijin LinNatee PantongHanli Liu

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