Literature DB >> 19123645

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration.

Erik Alerstam1, Tomas Svensson, Stefan Andersson-Engels.   

Abstract

General-purpose computing on graphics processing units (GPGPU) is shown to dramatically increase the speed of Monte Carlo simulations of photon migration. In a standard simulation of time-resolved photon migration in a semi-infinite geometry, the proposed methodology executed on a low-cost graphics processing unit (GPU) is a factor 1000 faster than simulation performed on a single standard processor. In addition, we address important technical aspects of GPU-based simulations of photon migration. The technique is expected to become a standard method in Monte Carlo simulations of photon migration.

Mesh:

Year:  2008        PMID: 19123645     DOI: 10.1117/1.3041496

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  72 in total

1.  Monte Carlo simulation of photon migration in a cloud computing environment with MapReduce.

Authors:  Guillem Pratx; Lei Xing
Journal:  J Biomed Opt       Date:  2011-12       Impact factor: 3.170

2.  Comparison of Monte Carlo methods for fluorescence molecular tomography-computational efficiency.

Authors:  Jin Chen; Xavier Intes
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

Review 3.  Implicit and explicit prior information in near-infrared spectral imaging: accuracy, quantification and diagnostic value.

Authors:  Brian W Pogue; Scott C Davis; Frederic Leblond; Michael A Mastanduno; Hamid Dehghani; Keith D Paulsen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.226

4.  Limitations of the commonly used simplified laterally uniform optical fiber probe-tissue interface in Monte Carlo simulations of diffuse reflectance.

Authors:  Peter Naglič; Franjo Pernuš; Boštjan Likar; Miran Bürmen
Journal:  Biomed Opt Express       Date:  2015-09-11       Impact factor: 3.732

5.  Fast and efficient image reconstruction for high density diffuse optical imaging of the human brain.

Authors:  Xue Wu; Adam T Eggebrecht; Silvina L Ferradal; Joseph P Culver; Hamid Dehghani
Journal:  Biomed Opt Express       Date:  2015-10-26       Impact factor: 3.732

6.  Generalized mesh-based Monte Carlo for wide-field illumination and detection via mesh retessellation.

Authors:  Ruoyang Yao; Xavier Intes; Qianqian Fang
Journal:  Biomed Opt Express       Date:  2015-12-18       Impact factor: 3.732

7.  Real-time blood flow visualization using the graphics processing unit.

Authors:  Owen Yang; David Cuccia; Bernard Choi
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

8.  New Monte Carlo model of cylindrical diffusing fibers illustrates axially heterogeneous fluorescence detection: simulation and experimental validation.

Authors:  Timothy M Baran; Thomas H Foster
Journal:  J Biomed Opt       Date:  2011-08       Impact factor: 3.170

9.  Comparative analysis of discrete and continuous absorption weighting estimators used in Monte Carlo simulations of radiative transport in turbid media.

Authors:  Carole K Hayakawa; Jerome Spanier; Vasan Venugopalan
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2014-02-01       Impact factor: 2.129

10.  Effect of probe geometry and optical properties on the sampling depth for diffuse reflectance spectroscopy.

Authors:  Ricky Hennessy; Will Goth; Manu Sharma; Mia K Markey; James W Tunnell
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

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