TY - JOUR
T1 - A diffusion-transport hybrid method for accelerating optical tomography
AU - Kim, Hyun Keol
AU - Hielscher, Andreas H.
N1 - Funding Information:
This work was supported in part by grants from the National Cancer Institute (NCI) (4R33CA118666 “Small animal tomography system for green fluorescent protein imaging” and 5U54CA126513-03 “Tumor Microenvironment Network — The role of inflammation and stroma in digestive cancer”) and the National Institute for Arthritis and Musculoskeletal and Skin Diseases (NIAMS) (2R01AR46255 “Optical tomographic imaging of joint diseases”), which are both part of the National Institutes of Health (NIH).
PY - 2010/10
Y1 - 2010/10
N2 - It is well acknowledged that the equation of radiative transfer (ERT) provides an accurate prediction of light propagation in biological tissues, while the diffusion approximation (DA) is of limited accuracy for the transport regime. However, ERT-based reconstruction codes require much longer computation times as compared to DA-based reconstruction codes. We introduce here a computationally efficient algorithm, called a diffusiontransport hybrid solver, that makes use of the DA- or low-order ERT-based inverse solution as an initial guess for the full ERT-based reconstruction solution. To evaluate the performance of this hybrid method, we present extensive studies involving numerical tissue phantoms and experimental data. As a result, we show that the hybrid method reduces the reconstruction time by a factor of up to 23, depending on the physical character of the problem.
AB - It is well acknowledged that the equation of radiative transfer (ERT) provides an accurate prediction of light propagation in biological tissues, while the diffusion approximation (DA) is of limited accuracy for the transport regime. However, ERT-based reconstruction codes require much longer computation times as compared to DA-based reconstruction codes. We introduce here a computationally efficient algorithm, called a diffusiontransport hybrid solver, that makes use of the DA- or low-order ERT-based inverse solution as an initial guess for the full ERT-based reconstruction solution. To evaluate the performance of this hybrid method, we present extensive studies involving numerical tissue phantoms and experimental data. As a result, we show that the hybrid method reduces the reconstruction time by a factor of up to 23, depending on the physical character of the problem.
KW - Optical tomography
KW - radiative transfer equation
KW - reconstruction time
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U2 - 10.1142/S1793545810001143
DO - 10.1142/S1793545810001143
M3 - Article
AN - SCOPUS:80052042980
SN - 1793-5458
VL - 3
SP - 293
EP - 305
JO - Journal of Innovative Optical Health Sciences
JF - Journal of Innovative Optical Health Sciences
IS - 4
ER -