Model fitting for sequences of images

Computational Statistics and Data Analysis

Volumn 32, Issue 3-4, 2000, Pages 323-335

  Hudson, H Malcolm ^a   Walsh, Craig ^a  

^a MACQUARIE UNIVERSITY   (Australia)

Author keywords

Emission tomography; EMPIRA; ML EM; NNLS; Spectral model

Indexed keywords

IMAGE ANALYSIS; IMAGE RECONSTRUCTION; INTEGRATION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MEDICAL IMAGING; PROBABILITY;

MAXIMUM LIKELIHOOD EXPECTATION MAXIMIZATION (ML-EM) RECONSTRUCTION;

COMPUTERIZED TOMOGRAPHY;

EID: 0038998788     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(99)00085-7     Document Type: Article

References (18)

1. Carson R.E., Lange K. The EM parametric image reconstruction algorithm. J. Amer, Statist. Assoc. 80:1985;20-22.
2. Cunningham V.J., Jones T. Spectral analysis of dynamic PET studies. J. Cerebral Blood Flow Metabolism. 13:1993;15-23.
3. Gidas, B., Hudson, H.M., 1991. A two stage EM algorithm with applications in emission tomography. Complex System Report 39, Brown University.
4. Glasbey, C.A., Berman, M., Hudson, H.M., 1998. Image analysis and tomography. In: Armitage, P., Colton, T. (Eds.), Encyclopedia of Biostatistics. Wiley, New York.
5. Hudson H.M., Larkin R.S. Accelerated image reconstruction using ordered subsets of projection data. IEEE Trans. Med. Imaging. MI-13(4):1994;601-609.
6. Hudson, H.M., Walsh, C., 1997. Density deconvolution using spectral mixture models. In: Billard, L., Fisher, N. (Eds.), Computing Science and Statistics, Vol. 28. Interface Foundation of North America, pp. 671-676.
7. Jacquez, J.A., 1985. Compartmental Analysis in Biology and Medicine, 2nd Edition. The University of Michigan Press (Chapter 2).
8. McColl J.H., Holmes A.P., Ford I. Statistical methods in neuroimaging with particular application to emission tomography. Statist. Methods Med. Res. 3(1):1994;63-86.
9. McLachlan, G.J., Krishnan, T., 1997. The EM Algorithm and Extensions. Wiley, New York.
10. Meikle S.R., Matthews J.C., Cunningham V.J., Bailey D.L., Livieratos L., Jones T., Price P. Parametric image reconstruction using spectral analysis of PET projection data. Phys. Med. Biol. 43(3):1998;651-666.
11. O'Sullivan F. Smooth mixture estimation with multichannel image data. J. Amer. Statist. Assoc. 88:1993;209-220.
12. O'Sullivan F. Metabolic images from dynamic positron emission tomography studies. Statist. Methods Med. Res. 3:1994;87-101.
13. Redner R., Walker H. Mixture densities, maximum likelihood, and the EM algorithm. SIAM Rev. 26:1984;195-239.
14. Shepp L., Vardi Y. Maximum likelihood reconstruction for emission tomography. IEEE Trans. Med. Imaging. MI-2:1982;113-122.
15. Snyder D.L. Parameter estimation for dynamic studies in emission-tomography systems having list-mode data. IEEE Trans. Nuc. Sci. NS-31(2):1984;925-931.
16. Tanner, M.A., 1992. Tools for Statistical Inference, Lecture Notes in Statistics, Vol. 67. Springer, Berlin.
17. Titterington, D.M., Smith, A.F.M., Makov, U.E., 1985. Statistical Analysis of Finite Mixture Distributions. Wiley, New York.
18. Zubal I., Harrell C., Smith E., Rattner Z., Gindi C., Hoffer P. Computerized three-dimensional segmented human anatomy. Med. Phys. 21(2):1994;299-302.