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Research on the Forward and Inverse Problems of BLT Based on Wavelet Finite Element and Moment Searching

Author: JinLuDong
Tutor: WuYan
School: Xi'an University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Molecular Imaging Autofluorescence tomography Wavelet Finite Element Moments search algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 59
Quote: 0
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Spurred medicine imaging technique to explore the cellular and molecular level , molecular imaging have come into being . The autofluorescence tomography (Bioluminescent Tomography, BLT) as a branch of molecular imaging , has been widespread concern. The study of BLT contains two forward and reverse problems . Wherein the forward problem is known that the light intensity distribution and the optical parameters of solving the light intensity distribution within the organization ; while the reverse process of the light intensity distribution is obtained in the surface of the light intensity distribution and tissue optical parameters known case . In this paper, these two aspects of BLT . First , the forward non- truncated wavelet finite element - based BLT Research . Departure from the autofluorescence tomography , to solve the problem the original wavelet finite element can not be applied to the complex shape of the body model , the non - truncated wavelet finite element algorithm . The algorithm uses a unit non- truncated combination wavelet basis , any two-dimensional and three-dimensional shape of the split , the wavelet finite element used in BLT forward problem . The theoretical analysis and numerical simulation results show that : compared with conventional finite element numerical solution , the algorithm in the case of get the same effective solution , reducing the unit sectional scores , reduce the computational complexity . Moments search algorithm to reduce the spontaneous the fluorescence tomography morbid purpose . The algorithm refers moments concept and theoretical mechanics algorithm to find the center of gravity , to constantly feedback regulation of the light source position , and would theoretically converge in the real light source , the full use of the light intensity distribution of the four-dimensional information of the surface of a living organism . Simulation results show that the algorithm is applied to the inverse problem of the spontaneous fluorescent tomographic imaging , accurate positioning of the light source .

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