Multimodality bayesian algorithm for image reconstruction in positron emission tomography: A tissue composition model

IEEE Transactions on Medical Imaging

Volumn 16, Issue 6, 1997, Pages 750-761

  Sastry, Srikanth ^a   Carson, Richard E ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Image reconstruction; Maximum a posteriori estimation; Positron emission tomography; Tissue composition model

Indexed keywords

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; BAYES THEOREM; BRAIN; COMPUTER ASSISTED EMISSION TOMOGRAPHY; COMPUTER SIMULATION; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; SCINTISCANNING;

ALGORITHMS; ALZHEIMER DISEASE; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; TOMOGRAPHY, EMISSION-COMPUTED;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; PHYSIOLOGICAL MODELS; TISSUE;

MAXIMUM A POSTERIORI (MAP) ESTIMATION; MULTIMODALITY BAYESIAN ALGORITHM; TISSUE COMPOSITION MODEL;

POSITRON EMISSION TOMOGRAPHY;

EID: 0031283380     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.650872     Document Type: Article

References (34)

1. L. A. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Trans. Med. Imag., vol. MI-1, pp. 113-122, 1982.
2. R. E. Carson, Y. C. Yan, B. Chodkowski, T. K. Yap, and M. E. Daube-Witherspoon, "Precision and accuracy of regional radioactivity quantitation using the maximum-likelihood EM reconstruction algorithm,'7£££ Trans. Med. Imag., vol. 13, pp. 526-537, 1994.
3. D. L. Snyder, M. I. Miller, L. J. Thomas, and D. G. Politte, "Noise and edge artifacts in maximum-likelihood reconstruction for emission tomography," IEEE Trans. Med. Imag., vol. MI-6, pp. 228-238, 1987.
4. E. Levitan and G. T. Herman, "A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography," IEEE Trans. Med. Imag., vol. MI-6, pp. 185-192, 1987.
5. T. Hebert and R. Leahy, "A generalized EM algorithm for 3-D Bayesian reconstruction for Poisson data using Gibbs priors," IEEE Trans. Med. Imag., vol. 8, pp. 194-202, 1989.
6. V. E. Johnson, W. H. Wong, X. Hu, and C. Chen, "Bayesian reconstruction of PET images using Gibbs priors," in Information Processing in Medical Imaging, D. A. Ortendahl and J. Llacer, Eds.. New York: Wiley-Liss, 1989, pp. 15-28.
7. Z. Liang, R. Jaszczak, and K. Green, "On Bayesian image reconstruction from projection: uniform and nonuniform a priori source information," IEEE Trans. Med. Imag., vol. 8, pp. 227-235, 1989.
8. P. J. Green, "Bayesian reconstructions from emission tomography data using a modified EM algorithm," IEEE Trans. Med. Imag., vol. 9, pp. 84-93, 1990.
9. K. Lange, "Convergence of EM image reconstruction algorithms with Gibbs smoothing," IEEE Trans. Med. Imag., vol. 9, pp. 439146, 1990.
10. J. Nunez and J. Llacer, "A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images," IEEE Trans. Med. Imag., vol. 9, pp. 159-171, 1990.
11. D. S. Lalush and B. M. W. Tsui, "Simulation evaluation of Gibbs prior distributions for use in maximum a posteriori SPECT reconstructions," IEEE Trans. Med. Imag., vol. 11, pp. 267-275, 1992.
12. S. J. Lee, A. Rangarajan, and G. R. Gindi, "Bayesian image reconstruction in SPECT using higher order mechanical models as priors," IEEE Trans. Med. Imag., vol. 14, pp. 669-680, 1995.
13. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Inteli, vol. PAMI-6, pp. 721-741, 1984.
14. C. T. Chen, X. Ouyang, W. H. Wong, X. Hu, V. E. Johnson, C. E. Ordonez, and C. E. Metz, "Sensor fusion in image reconstruction," IEEE Trans. Nucl. Sei., vol. 38, pp. 687-692, 1991.
15. V. E. Johnson, W. H. Wong, X. Hu, and C. T. Chen, "Image restoration using Gibbs priors: boundary modeling, treatment of blurring, and selection of hyperparameter," IEEE Trans. Pattern Anal. Machine Inteli., vol. 13, pp. 41325, 1991.
16. R. Leahy and X. Yan, "Incorporation of anatomical MR data for improved functional imaging with PET," in Information Processing in Medical Imaging, A. C. F. Colchester and D. J. Hawkes, Eds.. New York: Springer-Verlag, 1991, pp. 105-120.
17. G. Gindi, M. Lee, A. Rangarajan, and G. Zubal, "Bayesian reconstruction of functional images using anatomical information as priors," IEEE Trans. Med. Imag., vol. 12, pp. 670-680, 1993.
18. B. A. Ardekani, M. Braun, B. F. Hutton, "Improved quantification with the use of anatomical information in PET image reconstruction," in Quantification of Brain Function. Tracer Kinetics and Image Analysis in Brain PET, K. Uemura, N. A. Lassen, T. Jones, and I. Kanno, Eds. Amsterdam: Elsevier Science Publishers B.V., 1993, pp. 351-359.
19. X. Ouyang, W. H. Wong, V. E. Johnson, X. Hu, and C. T. Chen, "Incorporation of correlated structural images in PET image reconstruction," IEEE Trans. Med. Imag., vol. 13, pp. 627-640, 1994.
20. Y. Zhang, J. A. Fessier, N. H. Clinthorne, W. L. Rogers, "Joint estimation for incorporating MRI anatomic images into SPECT reconstruction," in Conf. Rec. IEEE Nuclear Science Symp. and Medical Imaging Conf., Norfolk, VA, 1994, pp. 1256-1260.
21. J. E. Bowsher, V. E. Johnson, T. G. Turkington, R. J. Jaszczak, C. E. Floyd., R. E. Coleman, "Bayesian reconstruction and use of anatomical a priori information for emission tomography," IEEE Trans. Med. Imag., vol. 15, pp. 673-686, 1996.
22. H. S. Choi, D. R. Haynor, Y. Kim, "Partial volume tissue classification of multichannel magnetic resonance images-a mixel model," IEEE Trans. Med. Imag., vol. 10, pp. 39507, 1991.
23. M. A. Tanner, Tools for Statistical Inference. Berlin, Germany: Springer-Verlag, 1993.
24. J. W. VanMeter and P. A. Sandon, "Identification of cortex in magnetic resonance images," SPIE: Biomédical Image Processing and 3-D Microscopy, vol. 1660, 1992.
25. R. P. Woods, J. C. Mazziotta, and S. R. Cherry, "MRI-PET registration with automated algorithm," J Comput. Assist. Tomogr., vol. 17, pp. 536-546, 1993.
26. L. Sokoloff, M. Reivich, C. Kennedy, M. H. Des Rosiers, C. S. Patlak, K. D. Pettigrew, O. Sakurada, and M. Shinohara, "The [14C]deoxyglucose method for the measurement of local cerebral glucose utilization: Theory, procedure, and normal values in the conscious and anesthetized albino rat," J. Neurochem., vol. 28, pp. 897-916, 1977.
27. B. Lipinski, H. Herzog, E. Rota Kops, W. Oberschelp, and H. W. MüllerGärtner, "MR guided PET reconstruction and problems with anatomical misinformation," Neurolmage, 2:S31, 1995.
28. E. J. Huffman, S.-C. Huang, and M. E. Phelps, "Quantitation in positron emission computed tomography: 1. Effect of object size," J. Comput. Assist. Tomogr., vol. 3, pp. 299-308, 1979.
29. H. W. Müller-Gärtner, J. M. Links, J. L. Prince, R. N. Bryan, E. McVeigh, J. P. Leal, C. Davatzikos, and J. J. Frost, "Measurement of
30. radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects," J. Cereb. Blood Flow Metab., vol. 12, pp. 571-583, 1992.
31. S. C. Strother, J. R. Anderson, X. L. Xu, J. S. Liow, D. C. Bonar, and D. A. Rottenberg, "Quantitative comparisons of image registration techniques based on high-resolution MRI of the brain," J. Comput. Assist. Tomogr., vol. 18, pp. 954-962, 1994.
32. Z. Zhou, R. M. Leahy, and E. U. Mumcuoglu. "A comparative study of the effects of using anatomical priors in PET reconstruction" in Conf. Rec. IEEE Nuclear Science Symp. Medical Imaging Conf., 1993, pp. 1749-1753.
33. S. J. Lee, G. R. Gindi, I. G. Zubal, and A. Rangarajan, "Using groundtruth data to design priors in Bayesian SPECT reconstruction" in Information Processing in Medical Imaging, Y. Bizais, C. Barillot, and R. D. Paola, Eds. Norwell, MA: Kluwer, 1995, pp. 27-38.
34. Z. Zhou, R. M. Leahy, and E. U. Mumcuoglu, "Maximum likelihood hyperparameter estimation for Gibbs priors with applications to PET," in Information Processing in Medical Imaging, Y. Bizais, C. Barillot, and R. D. Paola, Eds. Norwell, MA: Kluwer, 1995, pp. 39-51.