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 hig...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 scatteringnatureofbiologicaltissue.Hence,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.展开更多
基金State Key Laboratory of Software Development Environmentgrant number:SKLSDE-2011ZX-12+4 种基金the National Natural Science Foundation of Chinagrant number:61108084,61101008Research Fund for the Doctoral Program of Higher Education of Chinagrant number:20111102120039Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education,the Fundamental Research Funds for the Central Universities
文摘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 scatteringnatureofbiologicaltissue.Hence,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.
