A FINITE-ELEMENT APPROACH FOR MODELING PHOTON TRANSPORT IN TISSUE.
299 - 309.
The use of optical radiation in medical physics is important in several fields for both treatment and diagnosis. In all cases an analytic and computable model of the propagation of radiation in tissue is essential for a meaningful interpretation of the procedures. A finite element method (FEM) for deriving photon density inside an object, and photon flux at its boundary, assuming that the photon transport model is the diffusion approximation to the radiative transfer equation, is introduced herein. Results from the model for a particular case are given: the calculation of the boundary flux as a function of time resulting from a delta-function input to a two-dimensional circle (equivalent to a line source in an infinite cylinder) with homogeneous scattering and absorption properties. This models the temporal point spread function of interest in near infrared spectroscopy and imaging. The convergence of the FEM results are demonstrated, as the resolution of the mesh is increased, to the analytical expression for the Green's function for this system. The diffusion approximation is very commonly adopted as appropriate for cases which are scattering dominated, i.e., where mu(s) much greater than mu(a), and results from other workers have compared it to alternative models. In this article a high degree of agreement with a Monte Carlo method is demonstrated. The principle advantage of the FE method is its speed. It is in all ways as flexible as Monte Carlo methods and in addition can produce photon density everywhere, as well as flux on the boundary. One disadvantage is that there is no means of deriving individual photon histories.
|Title:||A FINITE-ELEMENT APPROACH FOR MODELING PHOTON TRANSPORT IN TISSUE|
|Keywords:||FINITE ELEMENTS, LIGHT TRANSPORT, DIFFUSION EQUATION, NEAR INFRARED IMAGING, TIME RESOLVED, NEAR-INFRARED SPECTROSCOPY, CEREBRAL OXYGENATION, MAMMALIAN-TISSUES, NEWBORN-INFANTS, ILLUMINATION, ABSORPTION, SCATTERING, MIGRATION, LIGHT, TIME|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering
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