Paper
14 July 2004 Diffuse tomographic imaging after estimation of location and approximate value of the object inhomogeneities through backprojection of the data
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Abstract
We describe here a method for tomographic reconstruction of the optical properties of a diffuse scattering object. The data are the integrated intensity (for absorption coefficient μa) and the mean arrival time (for reduced scattering coefficient μs), obtained from the temporal point spread function (tpsf) measurements. In both the cases we used a nonlinear optimization method to minimize the mean-squared error between the experimental data and the computed data. For computing the forward data, a diffusion equation is used as the model for light propagation. The main contribution of this work is the generation of the approximate location of the inhomogeneity in the object and its approximate value through a simple backpropagation of the data, which are input as a priori known starting information to the iterative reconstruction algorithm. Two advantages follow: (i) with background optical properties assumed to be known, the number of unknowns reduces to those inside the known inhomogeneity, which reduces the dimension of the inversion problem; (ii) initial estimate of the μa or μs values helps to get a quicker convergence to the actual solution. It is shown that without the a priori information from the backprojection algorithm, the inversion either took a much longer time or failed to converge.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kanmani Buddhi and Ram M. Vasu "Diffuse tomographic imaging after estimation of location and approximate value of the object inhomogeneities through backprojection of the data", Proc. SPIE 5475, Saratov Fall Meeting 2003: Coherent Optics of Ordered and Random Media IV, (14 July 2004); https://doi.org/10.1117/12.568556
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KEYWORDS
Reconstruction algorithms

Scattering

Optical properties

Absorption

Sensors

Tomography

Data modeling

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