CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Biomed. Opt. > Volume 21 > Issue 4 > Article
Open Access
19 April 2016 Direct reconstruction in CT-analogous pharmacokinetic diffuse fluorescence tomography: two-dimensional simulative and experimental validations
Xin Wang, Yanqi Zhang, Limin Zhang, Jiao Li, Zhongxing Zhou, Huijuan Zhao, Feng Gao
Author Affiliations +
Journal of Biomedical Optics, Vol. 21, Issue 4, 046007 (April 2016). https://doi.org/10.1117/1.JBO.21.4.046007
Abstract
We present a generalized strategy for direct reconstruction in pharmacokinetic diffuse fluorescence tomography (DFT) with CT-analogous scanning mode, which can accomplish one-step reconstruction of the indocyanine-green pharmacokinetic-rate images within in vivo small animals by incorporating the compartmental kinetic model into an adaptive extended Kalman filtering scheme and using an instantaneous sampling dataset. This scheme, compared with the established indirect and direct methods, eliminates the interim error of the DFT inversion and relaxes the expensive requirement of the instrument for obtaining highly time-resolved date-sets of complete 360 deg projections. The scheme is validated by two-dimensional simulations for the two-compartment model and pilot phantom experiments for the one-compartment model, suggesting that the proposed method can estimate the compartmental concentrations and the pharmacokinetic-rates simultaneously with a fair quantitative and localization accuracy, and is well suitable for cost-effective and dense-sampling instrumentation based on the highly-sensitive photon counting technique.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2016/$25.00 © 2016 SPIE
Citation Download Citation
Xin Wang, Yanqi Zhang, Limin Zhang, Jiao Li, Zhongxing Zhou, Huijuan Zhao, and Feng Gao "Direct reconstruction in CT-analogous pharmacokinetic diffuse fluorescence tomography: two-dimensional simulative and experimental validations," Journal of Biomedical Optics 21(4), 046007 (19 April 2016). https://doi.org/10.1117/1.JBO.21.4.046007
Published: 19 April 2016
JOURNAL ARTICLE
 10 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 10 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fluorescence tomography
Data modeling
Tissues
Signal to noise ratio
Instrument modeling
Performance modeling
Digital filtering
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top