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Volumn 49 I, Issue 3, 2002, Pages 714-721

On estimating the variance of smoothed MLEM images

Author keywords

Maximum likelihood; Reconstruction; Variance

Indexed keywords

ALGORITHMS; CARDIOLOGY; COMPUTER SIMULATION; CURVE FITTING; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE RECONSTRUCTION; LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS;

EID: 0036624450     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2002.1039553     Document Type: Article
Times cited : (17)

References (14)
  • 1
    • 0034195227 scopus 로고    scopus 로고
    • Regularization for uniform spatial resolution properties in penalized-likelihood image reconstruction
    • J. W. Stayman and F. A. Fessler, "Regularization for uniform spatial resolution properties in penalized-likelihood image reconstruction," IEEE Trans. Med. Imaging, vol. 19, pp. 601-615, 2000.
    • (2000) IEEE Trans. Med. Imaging , vol.19 , pp. 601-615
    • Stayman, J.W.1    Fessler, F.A.2
  • 2
    • 0029299915 scopus 로고
    • Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance
    • H. H. Barrett, J. L. Denny, R. F. Wagner, and K. J. Myers, "Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance," J. Opt. Soc. Amer. A, vol. 12, pp. 834-852, 1995.
    • (1995) J. Opt. Soc. Amer. A , vol.12 , pp. 834-852
    • Barrett, H.H.1    Denny, J.L.2    Wagner, R.F.3    Myers, K.J.4
  • 3
    • 0028361508 scopus 로고
    • Noise properties of the EM algorithm: I. Theory
    • H. H. Barrett, D. W. Wilson, and B. M. W. Tsui, "Noise properties of the EM algorithm: I. Theory," Phys. Med. Biol., vol. 39, pp. 833-846, 1994.
    • (1994) Phys. Med. Biol. , vol.39 , pp. 833-846
    • Barrett, H.H.1    Wilson, D.W.2    Tsui, B.M.W.3
  • 4
    • 0028309681 scopus 로고
    • Noise properties of the EM algorithm: II. Monte Carlo simulations
    • D. W. Wilson, B. M. W. Tsui, and H. H. Barrett, "Noise properties of the EM algorithm: II. Monte Carlo simulations," Phys. Med. Biol., vol. 39, pp. 847-871, 1994.
    • (1994) Phys. Med. Biol. , vol.39 , pp. 847-871
    • Wilson, D.W.1    Tsui, B.M.W.2    Barrett, H.H.3
  • 5
    • 0030109465 scopus 로고    scopus 로고
    • Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): Applications to tomography
    • J. A. Fessler, "Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): Applications to tomography," IEEE Trans. Image Processing, vol. 5, pp. 493-506, 1996.
    • (1996) IEEE Trans. Image Processing , vol.5 , pp. 493-506
    • Fessler, J.A.1
  • 6
    • 0030241912 scopus 로고    scopus 로고
    • Spatial resolution properties of penalized-likelihood image reconstruction: Space-invariant tomographs
    • J. A. Fessler and W. L. Rogers, "Spatial resolution properties of penalized-likelihood image reconstruction: Space-invariant tomographs," IEEE Trans. Image Processing, vol. 5, pp. 1346-1358, 1996.
    • (1996) IEEE Trans. Image Processing , vol.5 , pp. 1346-1358
    • Fessler, J.A.1    Rogers, W.L.2
  • 7
    • 0032589150 scopus 로고    scopus 로고
    • A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data
    • J. Qi and R. M. Leahy, "A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data," IEEE Trans. Med. Imaging, vol. 18, pp. 293-305, 1999.
    • (1999) IEEE Trans. Med. Imaging , vol.18 , pp. 293-305
    • Qi, J.1    Leahy, R.M.2
  • 8
    • 0020194763 scopus 로고
    • Maximum likelihood reconstruction for emission tomography
    • L. S. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Trans. Med. Imaging, vol. MI-1, pp. 113-122, 1982.
    • (1982) IEEE Trans. Med. Imaging , vol.MI-1 , pp. 113-122
    • Shepp, L.S.1    Vardi, Y.2
  • 9
    • 0028700063 scopus 로고
    • Accelerated image reconstruction using ordered subsets of projection data
    • M. H. Hudson and R. S. Larkin, "Accelerated image reconstruction using ordered subsets of projection data," IEEE Trans. Med. Imaging, vol. 13, pp. 601-609, 1994.
    • (1994) IEEE Trans. Med. Imaging , vol.13 , pp. 601-609
    • Hudson, M.H.1    Larkin, R.S.2
  • 12
    • 0031233862 scopus 로고    scopus 로고
    • Convergent block-iterative algorithms for image reconstruction from inconsistent data
    • C. L. Byrne, "Convergent block-iterative algorithms for image reconstruction from inconsistent data," IEEE Trans. Image Processing, vol. 6, pp. 1296-1304, 1997.
    • (1997) IEEE Trans. Image Processing , vol.6 , pp. 1296-1304
    • Byrne, C.L.1
  • 13
    • 0034164338 scopus 로고    scopus 로고
    • Noise characterization of block-iterative reconstruction algorithms: I. Theory
    • E. J. Soares, C. L. Byrne, and S. J. Glick, "Noise characterization of block-iterative reconstruction algorithms: I. Theory," IEEE Trans. Med. Imaging, vol. 19, pp. 261-270, 2000.
    • (2000) IEEE Trans. Med. Imaging , vol.19 , pp. 261-270
    • Soares, E.J.1    Byrne, C.L.2    Glick, S.J.3
  • 14
    • 0021151702 scopus 로고
    • A new fast algorithm for the evaluation of regions of interest and statistical uncertainty in computed tomography
    • R. H. Huesman, "A new fast algorithm for the evaluation of regions of interest and statistical uncertainty in computed tomography," Phys. Med. Biol., vol. 29, pp. 543-552, 1984.
    • (1984) Phys. Med. Biol. , vol.29 , pp. 543-552
    • Huesman, R.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.