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2D Shape-based fluorescence Molecular tomography Through Hybrid Genetic Algorithm Based Optimization

Chinese Journal of Biomedical Engineering(English Edition) 2016年第3期25卷 107-113页

作者： WANG Dai-fa WANG Ling FAN Yu-bo LI De-yu State Key Laboratory of Software Development Environment Beihang University School of Biological Science and Medical Engineering Beihang University

fluorescence molecular tomography(FMT) aims at tomographicallyresolving the fluorescent targets deeply inside small animal based on transmission boundary measurements. The image reconstruction of FMT isknown to be highlyill-posed, due to the highly ***,priorinformationisusuallyrequired for successful reconstruction. In this paper, a novel reconstruction method incorporating shape priors is proposed for 2D FMT. The fluorescent targets were assumed of round shape, which was practically appropriate for approximating various shapes inside diffusive medium. Compared to the traditional pixel based reconstruction, the number of unknowns was greatly reduced to a few control parameters of round shapes. A hybrid genetic algorithm was proposed to recover the shape parameters. The numerical experiments showed that the proposed method significantly improves the imaging accuracy, offering clearer target boundaries and better resolution. Comparison results also demonstrated that the hybridization of genetic algorithm and Newton-typesearchwaspivotalandimportantforrobustlyfindingthegloballyoptimalshape parameters.

关键词： fluorescence tomography shape reconstruction genetic algorithm

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Recent Developments in Numerical Techniques for Transport-Based Medical Imaging Methods

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Communications in Computational Physics 2010年第6期8卷 1-50页

作者： Kui Ren Department of Mathematics University of Texas at Austin1 University Station C1200AustinTX 78712USA

The objective of this paper is to review recent developments in numerical reconstruction methods for inverse transport problems in imaging applications,mainly optical tomography,fluorescence tomography and bioluminescence *** those inverse problems,one aims at reconstructing physical parameters,such as the absorption coefficient,the scattering coefficient and the fluorescence light source,inside heterogeneous media,from partial knowledge of transport solutions on the boundaries of the *** physical parameters recovered can be used for diagnostic *** reconstruction techniques for those inverse transport problems can be roughly classified into two categories:linear reconstruction methods and nonlinear reconstruction *** the first type of methods,the inverse problems are linearized around some known background to obtain linear inverse *** regularization techniques are then applied to solve those inverse *** second type of methods are either based on regularized nonlinear least-square techniques or based on gradient-driven iterative methods for nonlinear operator *** either case,the unknown parameters are iteratively updated until the solutions of the transport equations with the those parameters match the measurements to a certain *** review linear and nonlinear reconstruction methods for inverse transport problems in medical imaging with stationary,frequency-domain and time-dependent *** materials presented include both existing and new ***,we attempt to present similar algorithms for different problems in the same framework to make it more straightforward to generalize those algorithms to other inverse(transport)problems.

关键词： Inverse problem radiative transport equation optical tomography bioluminescence tomography fluorescence tomography iterative reconstruction

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