Research Papers: Imaging

Mesh-based Monte Carlo method in time-domain widefield fluorescence molecular tomography

[+] Author Affiliations
Jin Chen, Xavier Intes

Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, New York 12180

Qianqian Fang

Massachusetts General Hospital, Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129

J. Biomed. Opt. 17(10), 106009 (Oct 01, 2012). doi:10.1117/1.JBO.17.10.106009
History: Received March 16, 2012; Revised July 24, 2012; Accepted August 27, 2012
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Abstract.  We evaluated the potential of mesh-based Monte Carlo (MC) method for widefield time-gated fluorescence molecular tomography, aiming to improve accuracy in both shape discretization and photon transport modeling in preclinical settings. An optimized software platform was developed utilizing multithreading and distributed parallel computing to achieve efficient calculation. We validated the proposed algorithm and software by both simulations and in vivo studies. The results establish that the optimized mesh-based Monte Carlo (mMC) method is a computationally efficient solution for optical tomography studies in terms of both calculation time and memory utilization. The open source code, as part of a new release of mMC, is publicly available at http://mcx.sourceforge.net/mmc/.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Jin Chen ; Qianqian Fang and Xavier Intes
"Mesh-based Monte Carlo method in time-domain widefield fluorescence molecular tomography", J. Biomed. Opt. 17(10), 106009 (Oct 01, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.10.106009


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