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

Journal Article · Mon Dec 31 04:00:00 EST 2001 · Quantum Electronics (Woodbury, N.Y.)

DOI:https://doi.org/10.1070/QE2001V031N12ABEH002112· OSTI ID:21442870

Tret'yakov, Evgeniy V; Shuvalov, Vladimir V; Shutov, I V ^[1]

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1. International Laser Center, M. V. Lomonosov Moscow State University, Moscow (Russian Federation)

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)

• OSTI ID: 21442870
• Journal Information: Quantum Electronics (Woodbury, N.Y.), Journal Name: Quantum Electronics (Woodbury, N.Y.) Journal Issue: 12 Vol. 31; ISSN 1063-7818
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ABSORPTION
ALGORITHMS
APPROXIMATIONS
CALCULATION METHODS
DIAGNOSTIC TECHNIQUES
DIFFUSION
ELECTROMAGNETIC RADIATION
LASER RADIATION
MATHEMATICAL LOGIC
NONLINEAR PROBLEMS
RADIATIONS
REAL TIME SYSTEMS
SCATTERING
SORPTION
TOMOGRAPHY