OSA's Digital Library

Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 2, Iss. 5 — May. 1, 2011
  • pp: 1258–1264

Comment on A study on tetrahedron-based inhomogeneous Monte-Carlo optical simulation”

Qianqian Fang  »View Author Affiliations


Biomedical Optics Express, Vol. 2, Issue 5, pp. 1258-1264 (2011)
http://dx.doi.org/10.1364/BOE.2.001258


View Full Text Article

Enhanced HTML    Acrobat PDF (709 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

The Monte Carlo (MC) method is a popular approach to modeling photon propagation inside general turbid media, such as human tissue. Progress had been made in the past year with the independent proposals of two mesh-based Monte Carlo methods employing ray-tracing techniques. Both methods have shown improvements in accuracy and efficiency in modeling complex domains. A recent paper by Shen and Wang [Biomed. Opt. Express 2, 44 (2011)] reported preliminary results towards the cross-validation of the two mesh-based MC algorithms and software implementations, showing a 3–6 fold speed difference between the two software packages. In this comment, we share our views on unbiased software comparisons and discuss additional issues such as the use of pre-computed data, interpolation strategies, impact of compiler settings, use of Russian roulette, memory cost and potential pitfalls in measuring algorithm performance. Despite key differences between the two algorithms in handling of non-tetrahedral meshes, we found that they share similar structure and performance for tetrahedral meshes. A significant fraction of the observed speed differences in the mentioned article was the result of inconsistent use of compilers and libraries.

© 2011 OSA

OCIS Codes
(170.3660) Medical optics and biotechnology : Light propagation in tissues
(170.5280) Medical optics and biotechnology : Photon migration
(170.7050) Medical optics and biotechnology : Turbid media

ToC Category:
Optics of Tissue and Turbid Media

History
Original Manuscript: December 13, 2010
Manuscript Accepted: December 29, 2010
Published: April 19, 2011

Citation
Qianqian Fang, "Comment on “A study on tetrahedron-based inhomogeneous Monte-Carlo optical simulation”," Biomed. Opt. Express 2, 1258-1264 (2011)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-2-5-1258


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. H. Shen and G. Wang, “A tetrahedron-based inhomogeneous Monte Carlo optical simulator,” Phys. Med. Biol. 55(4), 947–962 (2010). [CrossRef] [PubMed]
  2. Q. Fang, “Mesh-based Monte Carlo method using fast ray-tracing in Plücker coordinates,” Biomed. Opt. Express 1(1), 165–175 (2010). [CrossRef] [PubMed]
  3. E. Margallo-Balbás and P. J. French, “Shape based Monte Carlo code for light transport in complex heterogeneous Tissues,” Opt. Express 15(21), 14086–14098 (2007). [CrossRef] [PubMed]
  4. C. Wächter, “Quasi-Monte Carlo light transport simulation by efficient ray tracing,” Ph.D. dissertation (Ulm University, 2007)
  5. N. Ren, J. Liang, X. Qu, J. Li, B. Lu, and J. Tian, “GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues,” Opt. Express 18(7), 6811–6823 (2010). [CrossRef] [PubMed]
  6. I. Wald, “Realtime ray tracing and interactive global illumination,” Ph.D. dissertation (Saarland University, 2004).
  7. D. Badouel, “An efficient ray-polygon intersection,” Graphics Gems, S.A. Glassner, ed. (Academic Press Professional, 1990), pp. 390–393.
  8. N. Platis and T. Theoharis, “Fast ray-tetrahedron intersection using Plücker coordinates,” J. Graph. Tools 8(4), 37–48 (2003).
  9. M. Shevtsov, A. Soupikov, and A. Kapustin, “Ray-triangle intersection algorithm for modern CPU architectures,” in Proceedings of GraphiCon 2007, (2007), pp. 33–39.
  10. H. Shen and G. Wang, “TIM-OS Project Site,” https://sites.google.com/a/imaging.sbes.vt.edu/tim-os/ .
  11. Q. Fang, “Mesh-based Monte Carlo—the software,” http://mcx.sourceforge.net/mmc/ .
  12. H. Shen and G. Wang, “A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation,” Biomed. Opt. Express 2(1), 44–57 (2011). [CrossRef] [PubMed]
  13. J. Havel and A. Herout, “Yet faster ray-triangle intersection (using SSE4),” IEEE Trans. Vis. Comput. Graph. 16(3), 434–438 (2010). [CrossRef] [PubMed]
  14. K. H. Huebner, The Finite Element Method for Engineers (Wiley, 2001), Section 10.6.4.
  15. Intel Knowledge Base, “New fast basic random number generator SFMT19937 in Intel MKL,” (2010), http://software.intel.com/en-us/articles/new-fast-basic-random-number-generator-sfmt19937-in-intel-mkl/ .

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

Figures

Fig. 1
 

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited