A Recent Study on Hardware Accelerated Monte Carlo Modeling of Light Propagation in Biological Tissues

被引:2
作者
Mesicek, Jakub [1 ,2 ]
Krejcar, Ondrej [1 ]
Selamat, Ali [1 ,3 ]
Kuca, Kamil [1 ,2 ]
机构
[1] Univ Hradec Kralove, Fac Informat & Management, Ctr Basic & Appl Res, Hradec Kralove, Czech Republic
[2] Univ Hosp Hradec Kralove, Biomed Res Ctr, Hradec Kralove, Czech Republic
[3] Univ Teknol Malaysia, Fac Comp, Johor Baharu, Malaysia
来源
TRENDS IN APPLIED KNOWLEDGE-BASED SYSTEMS AND DATA SCIENCE | 2016年 / 9799卷
关键词
Monte Carlo; Turbid media; Photon migration; Parallelization; CUDA; TURBID MEDIA; PHOTON MIGRATION; SKIN-LESIONS; SIMULATION; RECONSTRUCTION; OPTIMIZATION; CODE;
D O I
10.1007/978-3-319-42007-3_43
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Monte Carlo (MC) method is the gold standard in photon migration through 3D media with spatially varying optical properties. MC offers excellent accuracy, easy-to-program and straightforward parallelization. In this study we summarize the recent advances in accelerating simulations of light propagation in biological tissues. The systematic literature review method is involved selecting the relevant studies for the research. With this approach research questions regarding the acceleration techniques are formulated and additional selection criteria are applied. The selected studies are analyzed and the research questions are answered. We discovered that there are several possibilities for accelerating the MC code and the CUDA platform is used in more than 60% of all studies. We also discovered that the trend in GPU acceleration with CUDA has continued in last two years.
引用
收藏
页码:493 / 502
页数:10
相关论文
共 50 条
  • [21] Light transport modeling in highly complex tissues using the implicit mesh-based Monte Carlo algorithm
    Yuan, Yaoshen
    Yan, Shijie
    Fang, Qianqian
    BIOMEDICAL OPTICS EXPRESS, 2021, 12 (01) : 147 - 161
  • [22] ValoMC: a Monte Carlo software and MATLAB toolbox for simulating light transport in biological tissue
    Leino, Aleksi A.
    Pulkkinen, Aki
    Tarvainen, Tanja
    OSA CONTINUUM, 2019, 2 (03) : 957 - 972
  • [23] Multi-Scattering software: part I: online accelerated Monte Carlo simulation of light transport through scattering media
    Jonsson, Joakim
    Berrocal, Edouard
    OPTICS EXPRESS, 2020, 28 (25): : 37612 - 37638
  • [24] Electric field Monte Carlo simulation of polarized light propagation in multi-layered media
    Ding, Chizhu
    Tan, Zuojun
    Zhang, Shuhui
    Chen, Siyu
    AOPC 2017: OPTICAL SPECTROSCOPY AND IMAGING, 2017, 10461
  • [25] Reconstruction of optical scanned images of inhomogeneities in biological tissues by Monte Carlo simulation
    Jeeva, J. B.
    Singh, Megha
    COMPUTERS IN BIOLOGY AND MEDICINE, 2015, 60 : 92 - 99
  • [26] Comparative evaluations of the Monte Carlo-based light propagation simulation packages for optical imaging
    Wang, Lin
    Ren, Shenghan
    Chen, Xueli
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2018, 11 (01)
  • [27] Simulations of light propagation in biological tissues by considering the modeling of light sources and sensors
    Klinger, David
    Kraitl, Jens
    Ewald, Hartmut
    DESIGN AND PERFORMANCE VALIDATION OF PHANTOMS USED IN CONJUNCTION WITH OPTICAL MEASUREMENT OF TISSUE V, 2013, 8583
  • [28] Latest progress of Monte Carlo simulation of light transmission in tissues
    Deng Yong
    Meglinski, Igor
    ACTA PHYSICA SINICA, 2010, 59 (02) : 1396 - 1401
  • [29] Optimal beam size for light delivery to absorption-enhanced tumors buried in biological tissues and effect of multiple-beam delivery: A Monte Carlo study
    Wang, LHV
    Nordquist, RE
    Chen, WR
    APPLIED OPTICS, 1997, 36 (31): : 8286 - 8291
  • [30] Polarized Light Monte Carlo Analysis of Birefringence-Induced Depolarization in Biological Tissues
    Ortega-Quijano, Noe
    Fanjul-Velez, Felix
    Salas-Garcia, Irene
    Luis Arce-Diego, Jose
    MEDICAL LASER APPLICATIONS AND LASER-TISSUE INTERACTIONS VI, 2013, 8803