Wavelet-based model reduction applied to Fluorescence Diffuse Optical Tomography

Control Conference(2007)

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摘要
This paper is devoted to the Fluorescence Diffuse Optical Tomography. This inverse problem (physical parameter estimation problem) relies on an iterative algorithm based on repetitive solutions of a set of partial differential equations. The main goal of the paper is to present a wavelet-based model reduction technique applied to the solution of the partial differential equations involved in the problem, with the objective of computation complexity reduction. The effectiveness of the approach is then illustrated on a practical example.
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关键词
fluorescence,image processing,inverse problems,iterative methods,optical tomography,parameter estimation,partial differential equations,reduced order systems,wavelet transforms,computation complexity reduction,fluorescence diffuse optical tomography,inverse problem,iterative algorithm,parameter estimation problem,repetitive solutions,wavelet-based model reduction,tv,decision support systems
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