title: [Optimization approach to inverse problems in near-infrared optical tomography].
abstract: In this paper, we introduce an optimization approach to the inverse model of near-infrared optical tomography (NIR OT), which can reconstruct the optical properties, namely the absorption and scattering coefficients of thick tissue such as brain and breast tissues. A modeling and simulation tool, named Femlab and based on finite element methods, has been tested wherein the forward models are based on the diffusion equation. Then the inverse model is soved; this is regarded as an optimization approach, including the tests on difference between the measured data and the predicted data, and the optimization methods of optical properties. The algorithms used for optimization are multi-species Genetic Algorithms based on multi-encoding. At last, the whole strategy for the Femlab and optimization approach is given. The strategy is proved to be sufficient by the simulation results.
authors.affiliation: Department of Biomedicine Engineering, College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China. liweitao@nuaa.edu.cn
authors.forename: Weitao
authors.initials: W
authors.lastname: Li
authors.forename: Huinan
authors.initials: H
authors.lastname: Wang
authors.forename: Zhiyu
authors.initials: Z
authors.lastname: Qian
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007259:Infrared Rays; D012542:Scattering, Radiation; D041622:Tomography, Optical / Q000379:methods*