Paper
7 October 2005 Adaptive diffusion regularization method of inverse problem for diffuse optical tomography
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Abstract
This paper develops and analyzes the performance of an adaptive diffusion regularization method with a specific algorithm reconstruction method called the Lagged Diffusivity Newton-Krylov method for Diffuse Optical Tomography inverse problem.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdel Douiri, Martin Schweiger, Jason Riley, and Simon R. Arridge "Adaptive diffusion regularization method of inverse problem for diffuse optical tomography", Proc. SPIE 5859, Photon Migration and Diffuse-Light Imaging II, 585916 (7 October 2005); https://doi.org/10.1117/12.632872
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Diffusion

Inverse problems

Image processing

Diffuse optical tomography

Anisotropic diffusion

Algorithm development

Data modeling

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