摘要
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 diffusion–transport 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.
基金
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”)
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).
