title: A linear, featured-data scheme for image reconstruction in time-domain fluorescence molecular tomography.
abstract: Fluorescence diffuse optical tomography (DOT) has attracted many attentions from the community of biomedical imaging, since it provides effective enhancement in imaging contrast. This modality is now rapidly evolving as a potential means of monitoring molecular events in small living organisms with help of molecule-specific contrast agents, referred to as fluorescence molecular tomography (FMT). FMT could greatly promote pathogenesis research, drug development, and therapeutic intervention. Although FMT in steady-state and frequency-domain modes have been heavily investigated, the extension to time-domain scheme is imminent for its several unique advantages over the others. By extending the previously developed generalized pulse spectrum technique for time-domain DOT, we propose a linear, featured-data image reconstruction algorithm for time-domain FMT that can simultaneously reconstruct both fluorescent yield and lifetime images of multiple fluorophores, and validate the methodology with simulated data.
authors.affiliation: College of Precision Instrument and Optoeletronics Engineering, Tianjin University, Tianjin 300072, China. gaofeng@tju.edu.cn
authors.forename: Feng
authors.initials: F
authors.lastname: Gao
authors.forename: Huijuan
authors.initials: H
authors.lastname: Zhao
authors.forename: Yukari
authors.initials: Y
authors.lastname: Tanikawa
authors.forename: Yukio
authors.initials: Y
authors.lastname: Yamada
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D013050:Spectrometry, Fluorescence / Q000379:methods*; D041622:Tomography, Optical / Q000379:methods*