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Volumn 6, Issue 4, 1987, Pages 313-319

Stopping Rule for the MLE Algorithm Based on Statistical Hypothesis Testing

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING - RECONSTRUCTION; MATHEMATICAL TECHNIQUES - ITERATIVE METHODS; STATISTICAL METHODS - STATISTICAL TESTS;

EID: 0023670085     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.1987.4307849     Document Type: Article
Times cited : (180)

References (11)
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  • 2
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    • Maximum likelihood reconstruction for emission tomography
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  • 3
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    • The use of sieves to stabilize images produced with the EM algorithm for emission tomography
    • D. L. Snyder and M. T. Miller, “The use of sieves to stabilize images produced with the EM algorithm for emission tomography,” IEEE Trans. Nucl. Sci., vol. NS-32, pp. 3864–3872, 1985.
    • (1985) IEEE Trans. Nucl. Sci. , vol.NS-32 , pp. 3864-3872
    • Snyder, D.L.1    Miller, M.T.2
  • 4
    • 84939326376 scopus 로고
    • On the convergence of the maximum likelihood estimator method of tomographic image reconstruction
    • Newport Beach, CA, SPIE, vol. Feb. 1987.
    • J. Llacer, E. Veklerov, and E. J. Hoffman, “On the convergence of the maximum likelihood estimator method of tomographic image reconstruction,” in Proc. Conf. Med. Imaging, Newport Beach, CA, Feb. 1987, SPIE, vol. 767, 1987.
    • (1987) Proc. Conf. Med. Imaging , vol.767
    • Llacer, J.1    Veklerov, E.2    Hoffman, E.J.3
  • 5
    • 84939367098 scopus 로고
    • The high sensitivity of the maximum likelihood estimator method of tomographic image reconstruction
    • Berlin, July
    • J. Llacer and E. Veklerov, “The high sensitivity of the maximum likelihood estimator method of tomographic image reconstruction,” in Proc. Conf. Comput. Assist. Radiol., Berlin, July 1987.
    • (1987) Proc. Conf. Comput. Assist. Radiol.
    • Llacer, J.1    Veklerov, E.2
  • 6
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    • A maximum a posteriori expectation maximization algorithm for image reconstruction in emission tomography
    • Med. Image Processing Group, Dep. Radiol., Univ. Pennsylvania, Dec.
    • E. Levitan and G. T. Herman, “A maximum a posteriori expectation maximization algorithm for image reconstruction in emission tomography,” Med. Image Processing Group, Dep. Radiol., Univ. Pennsylvania, Tech. Rep. MIPG115, Dec. 1986.
    • (1986) Tech. Rep. MIPG115
    • Levitan, E.1    Herman, G.T.2
  • 7
    • 0023314408 scopus 로고
    • Implementing and accelerating the EM algorithm for positron emission tomography
    • Mar.
    • L. Kaufman, “Implementing and accelerating the EM algorithm for positron emission tomography,” IEEE Trans. Med. Imaging, vol. MI-6, Mar. 1987.
    • (1987) IEEE Trans. Med. Imaging , vol.MI-6
    • Kaufman, L.1
  • 8
    • 0022683404 scopus 로고
    • Accelerated iterative reconstruction for positron emission tomography based on the EM algorithm for maximum likelihood estimation
    • Mar.
    • R. M. Lewitt and G. Muehllehner, “Accelerated iterative reconstruction for positron emission tomography based on the EM algorithm for maximum likelihood estimation,” IEEE Trans. Med. Inmagitng, vol. MI-5, Mar. 1986.
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    • Lewitt, R.M.1    Muehllehner, G.2
  • 9
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    • A fast reconstruction algorithm for stationary positron emission tomography based on a modified EM algorithm
    • June
    • E. Tanaka, “A fast reconstruction algorithm for stationary positron emission tomography based on a modified EM algorithm,” IEEE Trans. Med. Imaging, vol. MI-6, June 1987.
    • (1987) IEEE Trans. Med. Imaging , vol.MI-6
    • Tanaka, E.1
  • 10
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    • A mathematical model for positron-emission tomography systems having time-of-flight measurements
    • D. L. Snyder, J. T. Lewis, Jr., and M. M. Ter-Pogossian, “A mathematical model for positron-emission tomography systems having time-of-flight measurements,” IEEE Trans. Nucl. Sci., vol. NS-28, pp. 3575–3583, 1981.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.