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Photonics 2015, 2(2), 375-391; doi:10.3390/photonics2020375

Mesh Optimization for Monte Carlo-Based Optical Tomography

Department of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 8th street, Troy, NY 12180, USA
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Received: 19 March 2015 / Revised: 3 April 2015 / Accepted: 4 April 2015 / Published: 9 April 2015
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Abstract

Mesh-based Monte Carlo techniques for optical imaging allow for accurate modeling of light propagation in complex biological tissues. Recently, they have been developed within an efficient computational framework to be used as a forward model in optical tomography. However, commonly employed adaptive mesh discretization techniques have not yet been implemented for Monte Carlo based tomography. Herein, we propose a methodology to optimize the mesh discretization and analytically rescale the associated Jacobian based on the characteristics of the forward model. We demonstrate that this method maintains the accuracy of the forward model even in the case of temporal data sets while allowing for significant coarsening or refinement of the mesh. View Full-Text
Keywords: Monte Carlo; mesh-based Monte Carlo; optical tomography; fluorescence molecular tomography; time-gated optical tomography; mesh optimization Monte Carlo; mesh-based Monte Carlo; optical tomography; fluorescence molecular tomography; time-gated optical tomography; mesh optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Edmans, A.; Intes, X. Mesh Optimization for Monte Carlo-Based Optical Tomography. Photonics 2015, 2, 375-391.

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