Powell, S;
Hochuli, R;
Arridge, S;
(2017)
Radiance Monte-Carlo for application of the radiative transport equation in the inverse problem of diffuse optical tomography.
In:
Proceedings of Optical Tomography and Spectroscopy of Tissue XII.
SPIE
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Abstract
We introduce a new Monte-Carlo technique to estimate the radiance distribution in a medium according to the radiative transport equation (RTE). We demonstrate how to form gradients of the forward model, and thus how to employ this technique as part of the inverse problem in Diffuse Optical Tomography (DOT). Use of the RTE over the more typical application of the diffusion approximation permits accurate modelling in the case of short source-detector separation and regions of low scattering, in addition to providing time-domain information without extra computational effort over continuous-wave solutions.
Type: | Proceedings paper |
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Title: | Radiance Monte-Carlo for application of the radiative transport equation in the inverse problem of diffuse optical tomography |
Event: | Optical Tomography and Spectroscopy of Tissue XII |
Location: | San Francisco |
Dates: | 23 January 2017 - 28 January 2017 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1117/12.2250005 |
Publisher version: | http://dx.doi.org/10.1117/12.2250005 |
Language: | English |
Additional information: | © 2017 SPIE. |
Keywords: | Diffuse Optical Tomography, Radiative Transport Equation, Monte-Carlo Techniques, Inverse Problems, Image Reconstruction |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1544158 |
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