Tarvainen, T and Kolehmainen, V and Arridge, SR and Kaipio, JP (2011) Image reconstruction in diffuse optical tomography using the coupled radiative transport-diffusion model. J QUANT SPECTROSC RA , 112 (16) 2600 - 2608. 10.1016/j.jqsrt.2011.07.008.
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Abstract
The coupled radiative transport-diffusion model can be used as light transport model in situations in which the diffusion equation is not a valid approximation everywhere in the domain. in the coupled model, light propagation is modelled with the radiative transport equation in sub-domains in which the approximations of the diffusion equation are not valid, such as within low-scattering regions, and the diffusion approximation is used elsewhere in the domain. In this paper, an image reconstruction method for diffuse optical tomography based on using the coupled radiative transport-diffusion model is developed. In the approach, absorption and scattering distributions are estimated by minimising a regularised least-squares error between the measured data and solution of the coupled model. The approach is tested with simulations. Reconstructions from different cases including domains with low-scattering regions are shown. The results show that the coupled radiative transport-diffusion model can be utilised in image reconstruction problem of diffuse optical tomography and that it produces as good quality reconstructions as the full radiative transport equation also in the presence of low-scattering regions. (C) 2011 Elsevier Ltd. All rights reserved.
| Type: | Article |
|---|---|
| Title: | Image reconstruction in diffuse optical tomography using the coupled radiative transport-diffusion model |
| DOI: | 10.1016/j.jqsrt.2011.07.008 |
| Keywords: | Diffuse optical tomography, Inverse problems, Hybrid light transport models, Radiative transport equation, Diffusion approximation, FINITE-ELEMENT MODEL, TRANSFER EQUATION, PHOTON MIGRATION, FREQUENCY-DOMAIN, LOW-SCATTERING, TURBID MEDIUM, SMALL ANIMALS, HYBRID MODEL, PART 2, APPROXIMATION |
| UCL classification: | UCL > School of BEAMS > Faculty of Engineering Science > Computer Science |
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