OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 13 — May. 1, 2009
  • pp: 2496–2504

Optimization of probe geometry for diffuse optical brain imaging based on measurement density and distribution

Fenghua Tian, George Alexandrakis, and Hanli Liu  »View Author Affiliations


Applied Optics, Vol. 48, Issue 13, pp. 2496-2504 (2009)
http://dx.doi.org/10.1364/AO.48.002496


View Full Text Article

Enhanced HTML    Acrobat PDF (922 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Optode geometry plays an important role in achieving both good spatial resolution and spatial uniformity of detection in diffuse-optical-imaging-based brain activation studies. The quality of reconstructed images for six optode geometries were studied and compared using a laboratory tissue phantom model that contained an embedded object at two separate locations. The number of overlapping measurements per pixel (i.e., the measurement density) and their spatial distributions were quantified for all six geometries and were correlated with the quality of the resulting reconstructed images. The latter were expressed by the area ratio (AR) and contrast-to-noise ratio (CNR) between reconstructed and actual objects. Our results revealed clearly that AR and CNR depended on the measurement density asymptotically, having an optimal point for measurement density beyond which more overlapping measurements would not significantly improve the quality of reconstructed images. Optimization of probe geometry based on our method demonstrated that a practical compromise can be attained between DOI spatial resolution and measurement density.

© 2009 Optical Society of America

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.3660) Medical optics and biotechnology : Light propagation in tissues
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.3890) Medical optics and biotechnology : Medical optics instrumentation
(170.2655) Medical optics and biotechnology : Functional monitoring and imaging

ToC Category:
Medical Optics and Biotechnology

History
Original Manuscript: September 12, 2008
Revised Manuscript: January 16, 2009
Manuscript Accepted: April 6, 2009
Published: April 27, 2009

Virtual Issues
Vol. 4, Iss. 7 Virtual Journal for Biomedical Optics

Citation
Fenghua Tian, George Alexandrakis, and Hanli Liu, "Optimization of probe geometry for diffuse optical brain imaging based on measurement density and distribution," Appl. Opt. 48, 2496-2504 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-13-2496


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. B. Chance, Z. Zhuang, C. UnAh, C. Alter, and L. Lipton, “Cognition-activated low-frequency modulation of light absorption in human brain,” Proc. Natl. Acad. Sci. USA 90, 3770-3774 (1993). [CrossRef] [PubMed]
  2. A. Villringer and B. Chance, “Noninvasive optical spectroscopy and imaging of human brain function,” Trends Neurosci. 20, 435-442 (1997). [CrossRef] [PubMed]
  3. D. A. Boas and R. D. Frostig, “Optics in neuroscience,” J Biomed. Opt. 10, 011001 (2005). [CrossRef]
  4. S. Prahl, “Tabulated molar extinction coefficient for hemoglobin in water,” http://omlc.ogi.edu/spectra/hemoglobin/summary.html.
  5. K. Izzetoglu, S. Bunce, B. Onaral, K. Pourrezaei, and B. Chance, “Functional optical brain imaging using near-infrared during cognitive tasks,” Int. J. Human-Comp. Int. 17, 211-231 (2004).
  6. M. A. Franceschini, D. K. Joseph, T. J. Huppert, S. G. Diamond, and D. A. Boas, “Diffuse optical imaging of the whole head,” J. Biomed. Opt. 11, 054007 (2006). [CrossRef] [PubMed]
  7. C. H. Schmitz, M. Löcker, J. M. Lasker, A. H. Hielscher, and R. L. Barbour, “Instrumentation for fast functional optical tomography,” Rev. Sci. Instrum. 73, 429-439 (2002). [CrossRef]
  8. B. W. Zeff, B. R. White, H. Dehghani, B. L. Schlaggar, and J. P. Culver, “Retinotoptic mapping of adult human visual cortex with high-density diffuse optical tomography,” Proc. Natl. Acad. Sci. USA 104, 12169-12174 (2007). [CrossRef] [PubMed]
  9. C. Lee, C. Sun, P. Lee, H. Lee, C. Yang, C. Jiang, Y. Tong, T. Yeh, and J. Hsieh, “Study of photon migration with various source-detector separations in near-infrared spectroscopic brain imaging based on three-dimensional Monte Carlo modeling,” Opt. Express 13, 8339-8348 (2005). [CrossRef] [PubMed]
  10. T. Yamamoto, A. Maki, T. Kadoya, Y. Tanikawa, Y. Yamada, E. Okada, and H. Koizumi, “Arranging optical fibers for the spatial resolution improvement of topographical images,” Phys. Med. Biol. 47, 3429-3440 (2002). [CrossRef] [PubMed]
  11. Q. Zhao, L. Ji, and T. Jiang, “Improving performance of reflectance diffuse optical imaging using a multicentered mode,” J. Biomed. Opt. 11, 064019 (2006). [CrossRef]
  12. D. K. Joseph, T. J. Huppert, M. A. Franceschini, and D. A. Boas, “Diffuse optical tomography system to image brain activation with improved spatial resolution and validation with functional magnetic resonance imaging,” Appl. Opt. 45, 8142-8151 (2006). [CrossRef] [PubMed]
  13. D. A. Boas, K. Chen, D. Grebert, and M. A. Franceschini, “Improving the diffuse optical imaging spatial resolution of the cerebral hemodynamic response to brain activation in humans,” Opt. Lett. 29, 1506-1509 (2004). [CrossRef] [PubMed]
  14. D. A. Boas, A. M. Dale, and M. A. Franceschini, “Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy,” NeuroImage 23, S275-S288 (2004). [CrossRef] [PubMed]
  15. H. W. Engl, M. Hanke, and A. Neubauer, Regularization of Inverse Problems (Kluwer, 1996). [CrossRef]
  16. S. Fantini, M.-A. Franceschini, J. S. Maier, S. A. Walker, B. B. Barbieri, and E. Gratton, “Frequency-domain multichannel optical detector for noninvasive tissue spectroscopy and oximetry,” Opt. Eng. 34, 32-42 (1995). [CrossRef]
  17. ISS Inc., http://www.iss.com/Products/oxiplex.html.
  18. NIRx Medical Technologies, LLC, http://www.nirx.net/products_instrument.html.
  19. R. Arridge, “Optical tomography in medical imaging,” Inverse Probl. 15, R41-R93 (1999). [CrossRef]
  20. L. Wu, “A parameter choice method for Tikhonov regularization,” Electron. Trans. Numer. Anal. 16, 107-128(2003).
  21. P. C. Hansen and D. O'Leary, “The use of the L-curve in the regularization of discrete ill-posed problems,” SIAM J. Sci. Comput. 14, 1487-1503 (1993). [CrossRef]
  22. D. A. Boas, J. P. Culver, J. J. Stott, and A. K. Dunn, “Three dimensional Monte Carlo code for photon migration through complex heterogeneous media including the adult human head,” Opt. Express 10, 159-170 (2002). [PubMed]
  23. J. P. Culver, V. Ntziachristos, M. J. Holboke, and A. G. Yodh, “Optimization of optode arrangements for diffuse optical tomography: a singular-value analysis,” Opt. Lett. 26, 701-703 (2001). [CrossRef]
  24. F. Tian, S. Prajapati, and H. Liu, “A location-adaptive, frequency-specific cancellation algorithm to improve optical brain functional imaging,” in Spring Optics and Photonics Congress, Biomedical Optics (BIOMED), 2008 OSA Technical Digest Series (Optical Society of America, 2008), paper BMD29.

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.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited