Open AccessA linear, featured-data scheme for image reconstruction in time-domain fluorescence molecular tomography
Author(s) -
Feng Gao,
Huapeng Zhao,
Yukari Tanikawa,
Yukio Yamada
Publication year - 2006
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.14.007109
Subject(s) - diffuse optical imaging , iterative reconstruction , optics , molecular imaging , tomography , contrast (vision) , computer science , compressed sensing , fluorescence lifetime imaging microscopy , fluorescence , optical tomography , domain (mathematical analysis) , materials science , artificial intelligence , physics , in vivo , mathematics , mathematical analysis , microbiology and biotechnology , biology
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.