Molecular Optical Simulation Environment (MOSE): A Platform for the Simulation of Light Propagation in Turbid Media

The study of light propagation in turbid media has attracted extensive attention in the field of biomedical optical molecular imaging. In this paper, we present a software platform for the simulation of light propagation in turbid media named the “Molecular Optical Simulation Environment (MOSE)”. Based on the gold standard of the Monte Carlo method, MOSE simulates light propagation both in tissues with complicated structures and through free-space. In particular, MOSE synthesizes realistic data for bioluminescence tomography (BLT), fluorescence molecular tomography (FMT), and diffuse optical tomography (DOT). The user-friendly interface and powerful visualization tools facilitate data analysis and system evaluation. As a major measure for resource sharing and reproducible research, MOSE aims to provide freeware for research and educational institutions, which can be downloaded at http://www.mosetm.net.

[1]  B. Rice,et al.  In vivo imaging of light-emitting probes. , 2001, Journal of biomedical optics.

[2]  J. Culver,et al.  Time-dependent whole-body fluorescence tomography of probe bio-distributions in mice. , 2005, Optics express.

[3]  D. Boas,et al.  Three dimensional Monte Carlo code for photon migration through complex heterogeneous media including the adult human head. , 2002, Optics express.

[4]  Jie Tian,et al.  A study of photon propagation in free-space based on hybrid radiosity-radiance theorem. , 2009, Optics express.

[5]  S R Arridge,et al.  Recent advances in diffuse optical imaging , 2005, Physics in medicine and biology.

[6]  Vasilis Ntziachristos,et al.  Noncontact optical imaging in mice with full angular coverage and automatic surface extraction. , 2007, Applied optics.

[7]  Xavier Intes,et al.  Monte Carlo based method for fluorescence tomographic imaging with lifetime multiplexing using time gates , 2011, Biomedical optics express.

[8]  L. Fajardo,et al.  Differentiation of cysts from solid tumors in the breast with diffuse optical tomography. , 2004, Academic radiology.

[9]  Robin S. Dothager,et al.  Advances in bioluminescence imaging of live animal models. , 2009, Current opinion in biotechnology.

[10]  M. Schweiger,et al.  A finite element approach for modeling photon transport in tissue. , 1993, Medical physics.

[11]  Alexander D Klose,et al.  Fluorescence tomography with simulated data based on the equation of radiative transfer. , 2003, Optics letters.

[12]  Edward W. Larsen,et al.  Light transport in biological tissue based on the simplified spherical harmonics equations , 2006, J. Comput. Phys..

[13]  Craig S. Levin,et al.  A Comparison Between a Time Domain and Continuous Wave Small Animal Optical Imaging System , 2008, IEEE Transactions on Medical Imaging.

[14]  Igor Meglinski,et al.  Peer-to-peer Monte Carlo simulation of photon migration in topical applications of biomedical optics , 2012, Journal of biomedical optics.

[15]  S. Jacques,et al.  Light distributions in artery tissue: Monte Carlo simulations for finite‐diameter laser beams , 1989, Lasers in surgery and medicine.

[16]  Vasilis Ntziachristos,et al.  A submillimeter resolution fluorescence molecular imaging system for small animal imaging. , 2003, Medical physics.

[17]  Vasilis Ntziachristos,et al.  IMAGING SCATTERING MEDIA FROM A DISTANCE: THEORY AND APPLICATIONS OF NONCONTACT OPTICAL TOMOGRAPHY , 2004 .

[18]  Vasilis Ntziachristos,et al.  Looking and listening to light: the evolution of whole-body photonic imaging , 2005, Nature Biotechnology.

[19]  L Wang,et al.  MCML--Monte Carlo modeling of light transport in multi-layered tissues. , 1995, Computer methods and programs in biomedicine.

[20]  Alexander D Klose,et al.  The forward and inverse problem in tissue optics based on the radiative transfer equation: a brief review. , 2010, Journal of quantitative spectroscopy & radiative transfer.

[21]  Haiou Shen,et al.  A tetrahedron-based inhomogeneous Monte Carlo optical simulator , 2010, Physics in medicine and biology.

[22]  Mohammad Khorrami,et al.  EXCLUSION PROCESSES AND BOUNDARY CONDITIONS , 2004 .

[23]  F. Lesage,et al.  Whole-body fluorescence lifetime imaging of a tumor-targeted near-infrared molecular probe in mice. , 2005, Journal of biomedical optics.

[24]  S Arridge,et al.  3D optical tomography in the presence of void regions. , 2000, Optics express.

[25]  R Hibst,et al.  Influence of the phase function on determination of the optical properties of biological tissue by spatially resolved reflectance. , 2001, Optics letters.

[26]  R. Mohan,et al.  Comparison of EGS4 and MCNP4b Monte Carlo codes for generation of photon phase space distributions for a Varian 2100C. , 1999, Physics in medicine and biology.

[27]  Jie Tian,et al.  Multimodality Molecular Imaging , 2008, IEEE Engineering in Medicine and Biology Magazine.

[28]  Wenxiang Cong,et al.  Integral equations of the photon fluence rate and flux based on a generalized Delta-Eddington phase function. , 2008, Journal of biomedical optics.

[29]  F Lesage,et al.  Time Domain Fluorescent Diffuse Optical Tomography: analytical expressions. , 2005, Optics express.

[30]  Jie Tian,et al.  GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues. , 2010, Optics express.

[31]  S R Arridge,et al.  An investigation of light transport through scattering bodies with non-scattering regions. , 1996, Physics in medicine and biology.

[32]  Gary D Luker,et al.  Applications of bioluminescence imaging to the study of infectious diseases , 2007, Cellular microbiology.