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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editor: Gregory W. Faris
  • Vol. 3, Iss. 10 — Sep. 22, 2008

Improving image quality of diffuse optical tomography with a projection-error-based adaptive regularization method

Haijing Niu, Ping Guo, Lijun Ji, Qing Zhao, and Tianzi Jiang  »View Author Affiliations

Optics Express, Vol. 16, Issue 17, pp. 12423-12434 (2008)

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Diffuse optical tomography (DOT) reconstructs the images of internal optical parameter distribution using noninvasive boundary measurements. The image reconstruction procedure is known to be an ill-posed problem. In order to solve such a problem, a regularization technique is needed to constrain the solution space. In this study, a projection-error-based adaptive regularization (PAR) technique is proposed to improve the reconstructed image quality. Simulations are performed using a diffusion approximation model and the simulated results demonstrate that the PAR technique can improve reconstruction precision of object more effectively. The method is demonstrated to have low sensitivity to noise at various noise levels. Moreover, with the PAR method, the detectability of an object located both at the center and near the peripheral regions has been increased largely.

© 2008 Optical Society of America

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.6960) Medical optics and biotechnology : Tomography

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: March 17, 2008
Revised Manuscript: June 16, 2008
Manuscript Accepted: July 15, 2008
Published: August 4, 2008

Virtual Issues
Vol. 3, Iss. 10 Virtual Journal for Biomedical Optics

Haijing Niu, Ping Guo, Lijun Ji, Qing Zhao, and Tianzi Jiang, "Improving image quality of diffuse optical tomography with a projection-error-based adaptive regularization method," Opt. Express 16, 12423-12434 (2008)

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  1. B. W. Pogue, M. Testorf, T. McBride, U. L. Osterberg, and K. D. Paulsen, "Instrumentation and design of a frequency-domain diffuse optical tomography imager for breast cancer detection," Opt. Express 1, 391-403 (1997). [CrossRef] [PubMed]
  2. B. W. Pogue, S. P. Poplack, T. O. McBride, W. A. Wells, K. S. Osterman, U. L. Osterberg, and K. D. Paulsen, "Quantitative hemoglobin tomography with diffuse near-infrared spectroscopy: pilot results in the breast," Radiology 218, 261-266 (2001). [PubMed]
  3. S. Srinivasan, B. W. Pogue, S. Jiang, H. Dehghani, C. Kogel, S. Soho, J. J. Gibson, T. D. Tosteson, S. P. Poplack, and K. D. Paulsen, "Interpreting hemoglobin and water concentration, oxygen saturation, and scattering measured in vivo by near infrared breast tomography," Proc. Natl. Acad. Sci. 100, 12349-12354 (2003). [CrossRef] [PubMed]
  4. V. G. Peters, D. R. Wyman, M. S. Patterson, G. L. Frank, "Optical properties of normal and diseased human breast tissues in the visible and near infrared," Phys. Med. Biol. 35, 1317-1334 (1990). [CrossRef] [PubMed]
  5. A. Douiri, M. Schweiger, J. Riley, and S. Arridge, "Local diffusion regularization method for optical tomography reconstruction by using robust statistics," Opt. Lett. 30, 2439-2441 (2005). [CrossRef] [PubMed]
  6. 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]
  7. Q. Zhao, L. J. Ji, and T. Z. Jiang, "Improving performance of reflectance diffuse optical imaging using a multicentered mode," J. Biomed. Opt. 11, 0640191-0640198 (2006). [CrossRef]
  8. 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, 1506-1508 (2004). [CrossRef] [PubMed]
  9. D. A. Boas, M. A. O�??Leary, B. Chance, and A.G. Yodh, "Scattering of diffuse photon density waves by spherical inhomogeneities within turbid media: Analytic solution and applications," Proc. Natl. Acad. Sci. USA 91, 4887-4891 (1994). [CrossRef] [PubMed]
  10. D. A. Boas, M. A. O�??Leary, B. Chance, and A. G. Yodh, "Detection and characterization of optical inhomogeneities with diffuse photon density waves: a signal-to-noise analysis," Appl. Opt. 36, 75-92 (1997). [CrossRef] [PubMed]
  11. M. Schweiger, S. R Arridge, and I. Nissila, "Gauss-Newton method for image reconstruction in diffuse optical tomography," Phys. Med. Biol. 50, 2365-2386 (2005). [CrossRef] [PubMed]
  12. Y. Yao, Y. Wang, Y. Pei, W. Zhu, and R. L. Barbour, "Frequency domain optical imaging of absorption and scattering distributions by a Born iterative method," J. Opt. Soc. Am. A. 14, 325-342 (1997). [CrossRef]
  13. J. Zhou, J. Bai, and P. He, "Spatial location weighted optimization scheme for DC optical tomography," Opt. Express 11, 141-150 (2003). [CrossRef] [PubMed]
  14. B. W. Pogue, T. O. McBride, J. Prewitt, U. L. Osterberg, and K. D. Paulsen, "Spatially variant regularization improves diffuse optical tomography," Appl. Opt. 38, 2950-2961 (1999). [CrossRef]
  15. B. W. Pogue, X. M. Song, T. D. Tosteson, T. O. McBride, S. Jiang, and K. D. Paulsen, "Statistical analysis of nonlinearly reconstructed near-Infrared tomographic images: Part I�??theory and simulations," IEEE Trans. Med. Imaging 21, 755-764 (2002). [CrossRef] [PubMed]
  16. B. W. Pogue, C. Willscher, T. O. McBride, U. L. Osterberg, and K. D. Paulsen, "Contrast-detail analysis for detection and characterization with near-infrared diffuse tomography," Med. Phys. 27, 2693-2700 (2000). [CrossRef]
  17. H. Dehghani, B. W. Pogue, S. Jiang, B. Brooksby, and K. D. Paulsen, "Three-dimensional optical tomography resolution in small-object imaging," Appl. Opt. 42, 3117-3128 (2003). [CrossRef]
  18. S. Srinivasan, B. W. Pogue, H. Dehghani, S. Jiang, X. Song, and K. D. Paulsen, "Improved quantification of small objects in near-infrared diffuse optical tomography," J. Biomed. Opt. 9, 1161-1171 (2004). [CrossRef] [PubMed]
  19. S. C. Davis, H. Dehghani, P. K. Yalavarthy, B. W. Pogue, and K. D. Paulsen, "Comparing two regularization technique for diffuse optical tomography," Proc. SPIE 6434, 1-12 (2007).
  20. K. D. Paulsen and H. Jiang, "Spatially varying optical property reconstruction using a finite element diffusion equation approximation," Med. Phys. 22, 691-701 (1995). [CrossRef] [PubMed]
  21. H. Dehghani, B. Brooksby, K. Vishwanath, B. W. Pogue and K. D. Paulsen, "The effects of internal refractive index variation in near infrared optical tomography: A finite element modeling approach, " Phys. Med. Biol. 48, 2713-2727 (2003). [CrossRef] [PubMed]
  22. H. Jiang, K. D. Paulsen, U. L. Osterberg, B. W. Pogue, and M. S. Patterson, "Optical image reconstruction using frequency-domain data: simulations and experiments," J. Opt. Soc. Am. A 13, 253-266 (1996). [CrossRef]
  23. H. Dehghani, B. W. Pogue, S. Jiang, B. Brooksby, and K. D. Paulsen, "Three Dimensional Optical Tomography: Resolution in Small Object Imaging," Appl. Opt. 42,3117-3128 (2003). [CrossRef] [PubMed]
  24. H. Dehghani, B. W. Pogue, S. P. Poplack, and K. D. Paulsen, "Multiwavelength three-dimensional near-infrared tomography of the breast: Initial simulation, phantom, and clinical results," Appl. Opt. 42, 135-145 (2003). [CrossRef] [PubMed]
  25. H. Xu, H. Dehghani, and B. W. Pogue, "Near-infrared imaging in the small animal brain: optimization of fiber positions," J. Biomed. Opt. 8, 102-110 (2003). [CrossRef] [PubMed]
  26. X. Song, B. W. Pogue, T. D. Tosteson, T. O. McBride, S. Jiang, and K. D. Paulsen, "Statistical Analysis of Nonlinearly Reconstructed Near-Infrared Tomographic Images: Part II�??Experimental Interpretation," IEEE Trans. Med. Imaging 21, 764-773 (2002). [CrossRef] [PubMed]
  27. P. Guo, M. R. Lyu, and C. L. P. Chen, "Regularization parameter estimation for feedforward neural networks," IEEE Trans. Syst. Man Cybern. Part B: Cybernetics 33, 35-44 (2003). [CrossRef]
  28. H. J. Niu, P. Guo, L. J. Ji, and T. Jiang, "Improving diffuse optical tomography imaging with adaptive regularization method," Proc. SPIE 6789 K, 1-7 (2007).
  29. X. M. Song, B. W. Pogue, S. Jiang, M. M. Doyley, and H. Dehghani, "Automated region detection based on the contrast-to-noise ratio in near-infrared tomography," Appl. Opt. 43, 1053-1062 (2004). [CrossRef] [PubMed]

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