Mesh optimization for Monte Carlo based optical tomography

Andrew Edmans, Xavier Intes, Cameron Smith
2014 2014 40th Annual Northeast Bioengineering Conference (NEBEC)  
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
more » ... iated 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. Author Contributions Andrew Edmans performed all computational development and validations. Xavier Intes devised the project, supervised the implementation, and wrote the paper.
doi:10.1109/nebec.2014.6972782 fatcat:6ldzaj5uljaezep6qewt3hby7u