The numerical and experimental study of photon diffusion inside biological tissue using boundary integral method |
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| Authors: | Mohammad Ali Ansari Saeid Alikhani Ezeddin Mohajerani Reza Massudi |
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| Institution: | 1. DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom;2. neoLAB, Cambridge University NHS Foundation Trust, Cambridge CB2 OQQ, United Kingdom;3. Institute of Cognitive Neuroscience, University College London, London WC1N 3AZ, United Kingdom;4. Cambridge Babylab, Department of Psychology, University of Cambridge, Cambridge, CB2 3ER, United Kingdom;5. Centre for Brain and Cognitive Development, Birkbeck, University of London, London WC1E 7HX, United Kingdom;6. Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom;7. Gowerlabs Ltd., Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom;1. Department of Health Safety Environment and Civil Engineering, University of Petroleum and Energy Studies (UPES), Bidholi Energy Acres, Dehradun 248007, India;2. Department of Aerospace Engineering, University of Petroleum and Energy Studies (UPES), Bidholi Energy Acres, Dehradun 248007, India |
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| Abstract: | In this study, the diffusion of photons in turbid media, like biological tissue has been studied. Due to scattering and absorption of photons in such media, the study of photon propagation in biological tissue is complicated. The several numerical methods have been presented to simulate the behavior of diffused photons. Recently, Boundary Integral Method (BIM) has been offered to simulate photon migration inside biological tissues. This method has advantage, e.g. lower computational time in compared with other numerical methods. In this study, the accuracy and precision of BIM compares with another numerical method like Monte Carlo technique and finite difference method, and also the calculated results obtained by BIM and Monte Carlo method evaluate with measured results. Furthermore, the effects of scattering and absorption coefficient of tissue on the measured signal are studied. |
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