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Proceedings Paper

Optical image reconstruction of inhomogeneities in tissue
Author(s): Mita Mandal; U. B. Desai; M. P. Thaddeus
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Paper Abstract

Diffuse optical tomography (DOT) of tissue is gaining popularity as a low-cost, noninvasive technique to estimate the optical properties of biological tissues using near infrared (NIR) light. This has necessitated the development of image reconstruction techniques involving solution of the inverse problem. The development of accurate and fast image reconstruction algorithms that can transform the measurements into a clinically useful spatial map of optical coefficients continues to be a major challenge. In this paper, the authors present a novel image reconstruction technique that can accurately quantify the position, size and optical coefficients of inhomogeneties in the medium. The algorithm has a forward solver that uses Finite Element Method (FEM) for solving the diffusion equation. The meshing of the geometry is done by six node triangular elements as it approximates the geometry of the model more accurately and the use of quadratic shape functions gives better estimates as compared to three node linear triangular elements. The solver has automatic meshing, application of boundary conditions, generic state equation solver with complex and real numbers in the banded form and post processing tools. The solver also allows for the simulation of continuous wave and frequency domain data acquisition systems. An optimization technique, based on Quasi-Newton method has been used in the image reconstruction process. This solver has the novelty in reducing the sparsity, memory space and it uses relative objective function and weighted average approach to detect multiple inhomogeneities. To illustrate the performance of the algorithm we present reconstruction results based on simulation data.

Paper Details

Date Published:
PDF: 12 pages
Proc. SPIE 6316, Image Reconstruction from Incomplete Data IV, 63160M; doi: 10.1117/12.680015
Show Author Affiliations
Mita Mandal, Indian Institute of Technology Bombay (India)
U. B. Desai, Indian Institute of Technology Bombay (India)
M. P. Thaddeus, North Eastern Regional Institute of Science and Technology (India)


Published in SPIE Proceedings Vol. 6316:
Image Reconstruction from Incomplete Data IV
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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