title: Improved sparse reconstruction for fluorescence molecular tomography with L1/2 regularization.
abstract: Fluorescence molecular tomography (FMT) is a promising imaging technique that allows in vivo visualization of molecular-level events associated with disease progression and treatment response. Accurate and efficient 3D reconstruction algorithms will facilitate the wide-use of FMT in preclinical research. Here, we utilize L1/2-norm regularization for improving FMT reconstruction. To efficiently solve the nonconvex L1/2-norm penalized problem, we transform it into a weighted L1-norm minimization problem and employ a homotopy-based iterative reweighting algorithm to recover small fluorescent targets. Both simulations on heterogeneous mouse model and in vivo experiments demonstrated that the proposed L1/2-norm method outperformed the comparative L1-norm reconstruction methods in terms of location accuracy, spatial resolution and quantitation of fluorescent yield. Furthermore, simulation analysis showed the robustness of the proposed method, under different levels of measurement noise and number of excitation sources.
authors.affiliation: School of Information Sciences and Technology, Northwest University, Xi'an, 710069, China.
authors.forename: Hongbo
authors.initials: H
authors.lastname: Guo
authors.affiliation: School of Physics and Information Technology, Shaanxi Normal University, Xi'an, 710062, China.
authors.forename: Jingjing
authors.initials: J
authors.lastname: Yu
authors.affiliation: School of Information Sciences and Technology, Northwest University, Xi'an, 710069, China.
authors.forename: Xiaowei
authors.initials: X
authors.lastname: He
authors.affiliation: School of Information Sciences and Technology, Northwest University, Xi'an, 710069, China.
authors.forename: Yuqing
authors.initials: Y
authors.lastname: Hou
authors.affiliation: School of Information Sciences and Technology, Northwest University, Xi'an, 710069, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Dong
authors.affiliation: School of Information Sciences and Technology, Northwest University, Xi'an, 710069, China.
authors.forename: Shuling
authors.initials: S
authors.lastname: Zhang
keywords: (100.3190) Inverse problems; (170.3010) Image reconstruction techniques; (170.3880) Medical and biological imaging; (170.6960) Tomography