Three-dimensional diffuse optical tomography with a priori anatomical information

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5138, Issue , 2003, Pages 268-280

  Guven, Murat ^a   Yazici, Birsen ^a   Intes, Xavier ^b   Chance, Britton ^b  

^a Drexel University   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

A priori anatomical information; Diffuse optical tomography; Inverse problem; Spatial resolution; Three dimension

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; ESTIMATION; IMAGE QUALITY; INVERSE PROBLEMS; LEAST SQUARES APPROXIMATIONS; MEDICAL IMAGING; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; SPURIOUS SIGNAL NOISE; THREE DIMENSIONAL COMPUTER GRAPHICS;

DIFFUSE OPTICAL TOMOGRAPHY; SPATIAL RESOLUTION;

IMAGE RECONSTRUCTION;

EID: 1342268061     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.500834     Document Type: Conference Paper

References (32)

1. D. A. Boas, "A fundamental limitation of linearized algorithms for diffuse optical tomography," Optics Express, Vol. 1, No. 13, pp.404-413, 1997.
2. K. D. Paulsen and H. Jiang, "Enhanced frequency domain optical image reconstruction in tissues through total variation minimization," Appl. Opt. 35, pp. 3447-3458, 1996.
3. S. R. Arridge, "Forward and inverse problems in time resolved infrared imaging," Medical Optical Tomography, G. Muller Ed., Vol. IS11, pp. 53-64. SPIE Optical Engineering, Bellingham, WA, 1993.
4. H. Jiang, K. D. Paulsen, U. L. Osterberg, B. W. Pogue, and M. S. Patterson, "Optical image reconstruction using frequency-domain data: simulation and experiment," J. Optical Society America A, vol. 13, no. 2, pp. 253-266, 1996.
5. 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. Optical Society America A, vol. 14, no. 1, pp. 325-342, 1997.
6. J. C. Ye, C. A. Bouman, K. J. Webb, and R. P. Millane, "Nonlinear Multigrid Algorithms for Bayesian Optical Diffusion Tomography," IEEE Trans. on Image Processing, pp. 909-922, vol. 10, no. 6, 2001.
7. A. B. Milstein, S. Oh, J. S. Reynolds, K. J. Webb, and C. A. Bouman, "Three-dimensional Bayesian optical diffusion tomography with experimental data," Optics Letters, Vol. 27, pp. 95-97, No. 2, 2002.
8. M.J. Eppstein, D.J. Hawrysz, A. Godavarty, and E.M. Sevick-Muraca, "Three dimensional near infrared fluorescence tomography with Bayesian methodologies for image reconstruction from sparse and noisy data sets," Proc. Nat. Acad. Sci., 99, 9619-9624, 2002.
9. M. Guven, B. Yazici, X. Intes, B. Chance, and Y. Zheng, "Recursive Least Squares Algorithm for Optical Diffusion Tomography," Proceedings of the IEEE 28th Annual Northeast, pp. 273-274, 2002.
10. S. Oh, A. B. Milstein, R. P. Millane, C. A. Bouman, and K. J. Webb, "Source-detector Calibration in Three-dimensional Bayesian Optical Diffusion Tomography", J. Opt. Soc. Am. A, Vol. 19, No. 10, pp. 1983-1993, 2002.
11. A. H. Hielscher, S. Bartel, "Use of penalty terms in gradient-based iterative reconstruction schemes for optical tomography," Journal of Biomedical Optics, Vol. 6, pp. 183-192, No. 2, 2001.
12. B. W. Pogue, T. O. McBride, J. Prewitt, U. L. Osterberg, and K. D. Paulsen, "Spatially Varying Regularization Improves Diffuse Optical Tomography," Applied Optics, Vol. 38, No. 13, pp. 2950-2961, 1999.
13. B. W. Pogue and K. D. Paulsen, "High-resolution near-infrared tomographic imaging simulations of the rat cranium by use of a priori magnetic resonance imaging structural information," Optics Letters, Vol. 23, No. 21, pp. 1716-1718, 1998.
14. M. Schweiger and S. R. Arridge, "Optical tomographic reconstruction in a complex head model using a priori region boundary information," Phys. Med. Biol. 44, pp. 2703-2721, 1999.
15. J. Chang, H. L. Graber, P. C. Koo, R. Aronson, S. L. Barbour, and R. L. Barbour, "Optical imaging of anatomical maps derived from magnetic resonance imaging using time-independent optical sources," IEEE Trans. Med. Imaging 16 pp.68-77, 1997.
16. M. Guven, B. Yazici, X. Intes, B. Chance, "Diffuse Optical Tomography with a priori Anatomical Information," SPIE, 2003.
17. R. L. Barbour, H. L. Graber, J. Chang, S-L S. Barbour, P. C. Koo and R. Aronson, "MRI-Guided optical tomography: Prospects and computation for a new imaging method," IEEE Computational Science and Engineering, pp. 63-76, Winter 1995.
18. C-T Chen, X. Ouyang, W. H. Wong, X. Hu, V. E. Johnson, C. Ordonez, and C. E. Metz, "Sensor fusion in image reconstruction," IEEE Trans. Nuclear Science 38 pp. 687-692, 1991.
19. G. Gindi, M. Lee, A. Rangarajan, and I. G. Zubal, "Bayesian reconstruction of functional images using anatomical information as priors," IEEE Trans. Med. Imaging 12 pp. 670-680, 1993.
20. M. A. O'Leary, D. A. Boas, B. Chance, and A. G. Yodh, "Experimental images of heterogeneous turbid media by frequency-domain diffusing-photon tomography," Opt. Lett. 20, pp. 426-428, 1995.
21. S. R. Arridge, "Photon Measurement Density Functions. Part 1: Analytical Forms," Appl. Opt. 34, pp. 7395-7409, 1995.
22. A. C. Kak, and M. Slaney, "Principles of Computerized Tomographic Imaging," pp. 208-218, IEEE, New York, 1988.
23. A. Tikhonov and V. Arsenin, "Solutions of Ill-Posed Problems," Winston and Sons, New York, 1977.
24. E. Polak, and G. Ribère, "Note sur la convergence de directions conjugèes", Rev. Francaise Informat Recherche Opertionelle, 3e annèe, 16 pp. 35-43, 1969.
25. B. T. Polyak, "The Conjugate Gradient Method in Extremem Problems," USSR Comp. Math. Math. Phys., 9, pp. 94-112, 1969.
26. V. Ntziachristos, A. G. Yodh, M. D. Schnall, and B. Chance, "MRI-guided Diffuse Optical Spectroscopy of malignant and benign breast legions," Neoplasia, Volume 4, Issue 4, pp. 347-354, 2002.
27. A. Mohammad-Djafari, "Joint estimation of parameters in a Bayesian approach of solving inverse problems," in Proc. IEEE Int. Conf. Image Processinf, Vol. 2, Lausanne, Switzerland, Sept. 16-19, 1996, pp. 473-476.
28. I. Csiszar and G. Tusnady, "Information geometry and alternating minimization procedures," in Statistics and Decisions, Supplement Issue 1:205-237, 1984.
29. S. M. Haas, "The expectation-maximization and alternating minimization algorithms," September 11, 2002.
30. N. P. Galatsanos, A. K. Katsaggelos, "Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation," in IEEE Transactions on Image Processing, Vol. 1, No. 3, July 1992.
31. H. Xu, H. Dehghani, B. W. Pogue, K. D. Paulsen, J. D. Dunn, "Hybrid MR/Near Infrared Imaging of the Muribe Brain: Optimization of optical fiber arrangement and use of a priori knowledge," Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on, 2002 Page(s): 74-77.
32. H. Dehghani, B. W. Pogue, K. D. Paulsen, "Development of hybrid NIR/MRI imaging system algorithm: Use of a-priori information for tumor detection in the female breast," Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on, 2002 Page(s): 657-660.