Fast approximate statistical nonlinear algorithms for diffusion optical tomography of objects with a complicated internal structure

Fast approximate statistical nonlinear algorithms (capable of real-time operation) for solving direct and inverse problems in the diffusion optical tomography are described. These algorithms were tested by reconstructing a rather complicated internal structure (containing up to three strongly absorb...

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Bibliographic Details
Published inQuantum electronics (Woodbury, N.Y.) Vol. 31; no. 12; pp. 1095 - 1100
Main Authors Tret'yakov, Evgeniy V, Shuvalov, Vladimir V, Shutov, I V
Format Journal Article
LanguageEnglish
Published Woodbury, NY IOP Publishing 31.12.2001
American Institute of Physics
Subjects
ABSORPTION
ALGORITHMS
APPROXIMATIONS
CALCULATION METHODS
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
DIAGNOSTIC TECHNIQUES
DIFFUSION
ELECTROMAGNETIC RADIATION
LASER RADIATION
MATHEMATICAL LOGIC
NONLINEAR PROBLEMS
RADIATIONS
REAL TIME SYSTEMS
SCATTERING
SORPTION
TOMOGRAPHY
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Summary:Fast approximate statistical nonlinear algorithms (capable of real-time operation) for solving direct and inverse problems in the diffusion optical tomography are described. These algorithms were tested by reconstructing a rather complicated internal structure (containing up to three strongly absorbing inclusions no smaller than 5 mm in size) of strongly scattering and weakly absorbing large (up to 140 mm) model objects (with scattering and absorption coefficients equal to 1.4 and 0.005 - 0.015 mm{sup -1}, respectively). Experiments were performed using cw radiation of low-power diode lasers (with input power below 20 mW) in the near IR range (between 770 and 820 nm). (laser applications and other topics in quantum electronics)
ISSN:1063-7818
1468-4799
DOI:10.1070/QE2001v031n12ABEH002112