基于四面体的非均匀蒙特卡罗光学模拟器。
A tetrahedron-based inhomogeneous Monte Carlo optical simulator.
机构信息
School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA, USA.
出版信息
Phys Med Biol. 2010 Feb 21;55(4):947-62. doi: 10.1088/0031-9155/55/4/003. Epub 2010 Jan 20.
Abstract
Optical imaging has been widely applied in preclinical and clinical applications. Fifteen years ago, an efficient Monte Carlo program 'MCML' was developed for use with multi-layered turbid media and has gained popularity in the field of biophotonics. Currently, there is an increasingly pressing need for simulating tools more powerful than MCML in order to study light propagation phenomena in complex inhomogeneous objects, such as the mouse. Here we report a tetrahedron-based inhomogeneous Monte Carlo optical simulator (TIM-OS) to address this issue. By modeling an object as a tetrahedron-based inhomogeneous finite-element mesh, TIM-OS can determine the photon-triangle interaction recursively and rapidly. In numerical simulation, we have demonstrated the correctness and efficiency of TIM-OS.
摘要
光学成像是广泛应用于临床前和临床应用。十五年前，开发了一个高效的用于多层混浊介质的蒙特卡罗程序“MCML”，并在生物光子学领域广受欢迎。目前，人们越来越需要比 MCML 更强大的模拟工具来研究复杂非均匀物体中的光传播现象，例如老鼠。在这里，我们报告了一种基于四面体的非均匀蒙特卡罗光学模拟器（TIM-OS）来解决这个问题。通过将物体建模为基于四面体的非均匀有限元网格，TIM-OS 可以递归且快速地确定光子-三角形相互作用。在数值模拟中，我们验证了 TIM-OS 的正确性和效率。
相似文献
1
A tetrahedron-based inhomogeneous Monte Carlo optical simulator.
Phys Med Biol. 2010 Feb 21;55(4):947-62. doi: 10.1088/0031-9155/55/4/003. Epub 2010 Jan 20.
2
A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation.
Biomed Opt Express. 2010 Dec 3;2(1):44-57. doi: 10.1364/BOE.2.000044.
3
Massively parallel simulator of optical coherence tomography of inhomogeneous turbid media.
Comput Methods Programs Biomed. 2017 Oct;150:97-105. doi: 10.1016/j.cmpb.2017.08.001. Epub 2017 Aug 8.
4
High-performance, robustly verified Monte Carlo simulation with FullMonte.
J Biomed Opt. 2018 Aug;23(8):1-11. doi: 10.1117/1.JBO.23.8.085001.
5
MCML--Monte Carlo modeling of light transport in multi-layered tissues.
Comput Methods Programs Biomed. 1995 Jul;47(2):131-46. doi: 10.1016/0169-2607(95)01640-f.
6
Monte Carlo simulation of optical coherence tomography for turbid media with arbitrary spatial distributions.
J Biomed Opt. 2014 Apr;19(4):046001. doi: 10.1117/1.JBO.19.4.046001.
7
Monte Carlo simulation of light transport in turbid medium with embedded object--spherical, cylindrical, ellipsoidal, or cuboidal objects embedded within multilayered tissues.
J Biomed Opt. 2014 Apr;19(4):045003. doi: 10.1117/1.JBO.19.4.045003.
8
Graphics processing unit-accelerated mesh-based Monte Carlo photon transport simulations.
J Biomed Opt. 2019 Nov;24(11):1-6. doi: 10.1117/1.JBO.24.11.115002.
9
[Monte Carlo simulation of the divergent beam propagation in a semi-infinite bio-tissue].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Dec;30(6):1209-12.
10
GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues.
Opt Express. 2010 Mar 29;18(7):6811-23. doi: 10.1364/OE.18.006811.
引用本文的文献
1
Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine.
Phys Med Biol. 2025 Aug 29;70(17). doi: 10.1088/1361-6560/adfda7.
2
Effects of Skin Blood Flow Fluctuations on Non-Invasive Glucose Measurement and a Feasible Blood Flow Control Method.
Sensors (Basel). 2025 Feb 14;25(4):1162. doi: 10.3390/s25041162.
3
Monte Carlo Guidance for Better Imaging of Boreal Lakes in the Wavelength Region of 400-800 nm.
Sensors (Basel). 2025 Feb 9;25(4):1020. doi: 10.3390/s25041020.
4
Glucose Sensor Design Based on Monte Carlo Simulation.
Biosensors (Basel). 2025 Jan 4;15(1):17. doi: 10.3390/bios15010017.
5
A Comparative Review of the SWEET Simulator: Theoretical Verification Against Other Simulators.
J Imaging. 2024 Nov 27;10(12):306. doi: 10.3390/jimaging10120306.
6
Evaluation and Validation on Sensitivity of Near-Infrared Diffuse Reflectance in Non-Invasive Human Blood Glucose Measurement.
Sensors (Basel). 2024 Sep 10;24(18):5879. doi: 10.3390/s24185879.
7
MCOCT: an experimentally and numerically validated, open-source Monte Carlo simulator for optical coherence tomography.
Biomed Opt Express. 2024 Jan 4;15(2):624-640. doi: 10.1364/BOE.504061. eCollection 2024 Feb 1.
8
Physics-guided neural network for tissue optical properties estimation.
Biomed Opt Express. 2023 May 8;14(6):2576-2590. doi: 10.1364/BOE.487179. eCollection 2023 Jun 1.
9
Optical imaging and spectroscopy for the study of the human brain: status report.
Neurophotonics. 2022 Aug;9(Suppl 2):S24001. doi: 10.1117/1.NPh.9.S2.S24001. Epub 2022 Aug 30.
10
Meshless Monte Carlo radiation transfer method for curved geometries using signed distance functions.
J Biomed Opt. 2022 Aug;27(8). doi: 10.1117/1.JBO.27.8.083003.
本文引用的文献
1
Shape based Monte Carlo code for light transport in complex heterogeneous Tissues.
Opt Express. 2007 Oct 17;15(21):14086-98. doi: 10.1364/oe.15.014086.
2
In vivo mouse studies with bioluminescence tomography.
Opt Express. 2006 Aug 21;14(17):7801-9. doi: 10.1364/oe.14.007801.
3
Robust concentration determination of optically active molecules in turbid media with validated three-dimensional polarization sensitive Monte Carlo calculations.
Opt Express. 2005 Jan 10;13(1):148-63. doi: 10.1364/opex.13.000148.
4
Three dimensional Monte Carlo code for photon migration through complex heterogeneous media including the adult human head.
Opt Express. 2002 Feb 11;10(3):159-70. doi: 10.1364/oe.10.000159.
5
Hardware acceleration of a Monte Carlo simulation for photodynamic therapy [corrected] treatment planning.
J Biomed Opt. 2009 Jan-Feb;14(1):014019. doi: 10.1117/1.3080134.
6
Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration.
J Biomed Opt. 2008 Nov-Dec;13(6):060504. doi: 10.1117/1.3041496.
7
Integral equations of the photon fluence rate and flux based on a generalized Delta-Eddington phase function.
J Biomed Opt. 2008 Mar-Apr;13(2):024016. doi: 10.1117/1.2907168.
8
Modeling photon propagation in biological tissues using a generalized Delta-Eddington phase function.
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Nov;76(5 Pt 1):051913. doi: 10.1103/PhysRevE.76.051913. Epub 2007 Nov 14.
9
In vivo imaging of Drosophila melanogaster pupae with mesoscopic fluorescence tomography.
Nat Methods. 2008 Jan;5(1):45-7. doi: 10.1038/nmeth1149. Epub 2007 Dec 9.
10
Light transport in tissue by 3D Monte Carlo: influence of boundary voxelization.
Comput Methods Programs Biomed. 2008 Jan;89(1):14-23. doi: 10.1016/j.cmpb.2007.10.008. Epub 2007 Nov 28.
Zotero 插件