title: Acceleration of dynamic fluorescence molecular tomography with principal component analysis.
abstract: Dynamic fluorescence molecular tomography (FMT) is an attractive imaging technique for three-dimensionally resolving the metabolic process of fluorescent biomarkers in small animal. When combined with compartmental modeling, dynamic FMT can be used to obtain parametric images which can provide quantitative pharmacokinetic information for drug development and metabolic research. However, the computational burden of dynamic FMT is extremely huge due to its large data sets arising from the long measurement process and the densely sampling device. In this work, we propose to accelerate the reconstruction process of dynamic FMT based on principal component analysis (PCA). Taking advantage of the compression property of PCA, the dimension of the sub weight matrix used for solving the inverse problem is reduced by retaining only a few principal components which can retain most of the effective information of the sub weight matrix. Therefore, the reconstruction process of dynamic FMT can be accelerated by solving the smaller scale inverse problem. Numerical simulation and mouse experiment are performed to validate the performance of the proposed method. Results show that the proposed method can greatly accelerate the reconstruction of parametric images in dynamic FMT almost without degradation in image quality.
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China ; Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China ; guangleizhang@bjtu.edu.cn.
authors.forename: Guanglei
authors.initials: G
authors.lastname: Zhang
authors.affiliation: China Institute of Sport Science, Beijing 100061, China.
authors.forename: Wei
authors.initials: W
authors.lastname: He
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
authors.forename: Huangsheng
authors.initials: H
authors.lastname: Pu
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China ; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Liu
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
authors.forename: Maomao
authors.initials: M
authors.lastname: Chen
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Bai
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China ; Center for Biomedical Imaging Research, Tsinghua University, Beijing 100084, China.
authors.forename: Jianwen
authors.initials: J
authors.lastname: Luo
keywords: (100.3190) Inverse problems; (170.3010) Image reconstruction techniques; (170.3880) Medical and biological imaging; (170.6960) Tomography