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29 March 2007 Optical tomography for breast cancer imaging using a two-layer tissue model to include chest-wall effects
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Abstract
In this paper we have combined the solutions of diffusion equations for two-layer tissue structure with the linear perturbation method for imaging and shown the advantages of this method over the use of semi-infinite tissue model for imaging two-layer tissue structures. Analytical solutions have been derived for diffusion equations of light propagation in a two-layer tissue structures and several groups have used them to fit for the optical properties of the two layers. Using these solutions for imaging tumors embedded in two-layer tissue structures is shown to yield better images due to more accurate evaluation of the weight matrix that takes into account the light propagation effects in both the tissue layers, as compared to using the solutions of semi-infinite tissue model which is a good approximation for the problem when the upper layer of tissue is at least 2 cm thick. Although this method can be used for imaging any layered tissue, in this paper we have shown examples of breast imaging and account for the effect of underlying chest-wall. It is shown that considering a semi-infinite tissue model leads to higher errors in breast imaging when the patient has a breast thickness smaller than about 2 cm. We have shown improved imaging contrast especially for cases with smaller breast using this new method. The method was optimized using data obtained from Finite-element method (FEM) for target embedded in two-layer tissue structures and phantom experiments. Clinical results are also presented for breast imaging using this new method.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mini Das and Quing Zhu "Optical tomography for breast cancer imaging using a two-layer tissue model to include chest-wall effects", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65112L (29 March 2007); https://doi.org/10.1117/12.709732
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