Paper Info
Title
Fluorescence-Enhanced Optical Tomography With A Radiative Transfer-Based Model
Abstract
Time-dependent measurements of light propagation have been demonstrated to provide more information compared to time-independent, or continuous wave (CW) measurements for image reconstruction, when employing absorption or fluorescence contrast. Time-dependent measurements made in the frequency domain have been experimentally made with good signal-to-noise ratio (SNR) in preclinical and clinical research at modulation frequencies of 100MHz or less. However, measurements of higher modulation frequencies have potential to improve the reconstruction quality, if SNR can be conserved. In addition, the diffusion approximation (DA) has been demonstrated in both time dependent and independent measurements to be inaccurate in small tissue volumes as well as under conditions of high absorption and low scattering. In this paper, we proposed the third-order simplified spherical harmonics approximations (SP3)-based reconstruction algorithm for fluorescence enhanced optical tomography (FEOT) made in the frequency domain for enhanced accuracy at high modulation frequencies. In this algorithm, fully parallel implementation significantly improves the reconstruction speed and makes the large-scale data-based reconstruction possible. With the Monte Carlo-based synthetic data on the digital mouse phantom, the reconstructed results show the advantages of the proposed algorithm compared to DA-based reconstruction method.
Year
DOI
Venue
2011
10.1109/ISBI.2011.5872450
2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO
Keywords
Field
DocType
Fluorescence-enhanced optical tomography, reconstruction algorithm, high frequency information, finite element methods, parallel computation, Monte Carlo methods
Frequency domain,Iterative reconstruction,Imaging phantom,Signal-to-noise ratio,Optics,Reconstruction algorithm,Optical tomography,Frequency modulation,Radiative transfer,Physics
Conference
ISSN
Citations 
PageRank 
1945-7928
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Yujie Lu1192.83
Eva M. Sevick-Muraca23412.90