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Radiance Monte-Carlo for application of the radiative transport equation in the inverse problem of diffuse optical tomography

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 Green open access

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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
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
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.ucl.ac.uk/id/eprint/1544158
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