3-D Maximum a Posteriori Estimation for Single Photon Emission Computed Tomography on Massively-Parallel Computers

IEEE Transactions on Medical Imaging

Volumn 12, Issue 3, 1993, Pages 560-565

  Miller, M I ^a   Butler, C S ^a  

^a WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; PARALLEL PROCESSING SYSTEMS;

MASSIVELY PARALLEL PROCESSORS; MAXIMUM A POSTERIORI (MAP) METHOD; MAXIMUM LIKELIHOOD METHOD; SIEMENS ORBITER ROTATING CAMERA; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY;

MEDICAL IMAGING;

EID: 0027664070     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/42.241884     Document Type: Article

References (14)

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2. M. I. Miller and B. Roysam, “Bayesian image reconstruction for emission tomography: Implementation of the EM algorithm and Good's roughness prior on massively parallel processors,” in Proc. Nat. Acad. Sci, vol. 88 (20, no. 19), pp. 3223–3227, Apr. 1991.
3. A. W. McCarthy and M. I. Miller, “Maximum likelihood (SPECT) in clinical computation times using mesh-connected parallel computers,” IEEE Trans. Medical Imaging, vol. 10, pp. 426–436, Sept. 1991.
4. C. S. Butler and M. I. Miller, “Maximum a posteriori estimation for SPECT using regularization techniques on massively-parallel computers,” IEEE Trans. Medical Imaging, vol. 12, pp. 84–89, Mar. 1993.
5. M. I. Miller, D. L. Snyder, and T. Miller, “Maximum likelihood reconstruction for single photon emission computed tomography,” IEEE Trans. Nuclear Science, vol. NS-32, no. 1, pp. 769–778, 1985.
6. E. S. Chornoboy, C. J. Chen, M. I. Miller, T. R. Miller, and D. L. Snyder, “An evaluation of maximum likelihood reconstruction for SPECT, IEEE Trans. Medical Imaging, vol. 9, pp. 99–110, 1990.
7. C. S. Butler, J. W. Wallis, and T. R. Miller, “Experimental determination of the point-spread function of Siemen's orbiter camera,” Monograph ESSRL-91-26, Washington Univ., 1991.
8. I. J. Good and R. A. Gaskins, “Nonparametric roughness penalties for probability densities.” Biometrika, vol. 58, no. 2, pp. 255–277, 1971.
9. A. D. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statist. Soc, vol. B-39, pp. 1–37, 1977.
10. D. L. Snyder and M. I. Miller, “The use of sieves to stabilize images produced with the EM algorithms for emission tomography,” IEEE Trans. Nuclear Science, vol. NS-32, pp. 3864–3872, 1985.
11. M. I. Miller and D. L. Snyder, “The role of likelihood and entropy in incomplete-data problems: applications to estimating point-process intensities and Toeplitz constrained covariances,” in Proc. IEEE, vol. 75, pp. 892–907, 1987.
12. B. Roysam, J. A. Shrauner, and M. I. Miller, “Bayesian imaging using Good's roughness measure-implementation on a massively parallel processor,” in ICASSP 88 (New York), pp. 932–935, IEEE Conf. ASSP, Mar. 1988.
13. D. G. Politte and D. L. Snyder, “Corrections for accidental coincidences and attenuation in maximum-likelihood image reconstruction for positron-emission tomography,” IEEE Trans. Medical Imaging, vol. 10, no. 1, pp. 82–89, 1991.
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