title: Reconstruction algorithm for fluorescence molecular tomography using sorted L-one penalized estimation.
abstract: Fluorescence molecular tomography (FMT) has been a promising imaging tool that provides convenience for accurate localization and quantitative analysis of the fluorescent probe. In this study, we present a reconstruction method combining sorted L-one penalized estimation with an iterative-shrinking permissible region strategy to reconstruct fluorescence targets. Both numerical simulation experiments on a three-dimensional digital mouse model and physical experiments on a cubic phantom were carried out to validate the accuracy, effectiveness, and robustness of the proposed method. The results indicate that the proposed method can produce better location and satisfactory fluorescent yield with computational efficiency, which makes it a practical and promising reconstruction method for FMT.
authors.forename: Xiaowei
authors.initials: X
authors.lastname: He
authors.forename: Fang
authors.initials: F
authors.lastname: Dong
authors.forename: Jingjing
authors.initials: J
authors.lastname: Yu
authors.forename: Hongbo
authors.initials: H
authors.lastname: Guo
authors.forename: Yuqing
authors.initials: Y
authors.lastname: Hou
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D057054:Molecular Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041622:Tomography, Optical / Q000379:methods*