25 March 2013 Quantitative imaging of inhomogeneities in turbid medium using diffuse optical tomography: a genetic algorithm based approach
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Abstract
We report the use of genetic algorithm-based approach for reconstruction of the optical inhomogeneities embedded in turbid medium using diffuse optical tomography. In the proposed inversion scheme, the task of image reconstruction is formulated as optimization (minimization) problem which is solved using genetic algorithm approach to find the global minimum of the objective function. This approach preserves the full non-linear features of the problem and it can be applied for quantitative reconstruction over a wide range of contrast values where conventional linear and higher order reconstruction approaches show severe limitations. Successful implementation of the proposed scheme has been demonstrated for quantitative reconstruction of absorbing inhomogeneities (single as well as double) embedded in an otherwise homogeneous medium. In order to demonstrate its potential, reconstruction results have been presented for a wide range of parameters including size, location and contrast of the absorbing inhomogeneities embedded in the turbid medium.
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Abhishek R. Sethi, Abhishek R. Sethi, H. S. Patel, H. S. Patel, Atul Srivastava, Atul Srivastava, "Quantitative imaging of inhomogeneities in turbid medium using diffuse optical tomography: a genetic algorithm based approach", Proc. SPIE 8578, Optical Tomography and Spectroscopy of Tissue X, 85781A (25 March 2013); doi: 10.1117/12.2002859; https://doi.org/10.1117/12.2002859
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