Developments with maximum likelihood X-ray computed tomography

An approach to the maximum-likelihood estimation of attenuation coefficients in transmission tomography is presented as an extension of earlier theoretical work by K. Lange and R. Carson (J. Comput. Assist. Tomography, vol.8, p.306-16, 1984). The reconstruction algorithm is based on the expectation-...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 1992-03, Vol.11 (1), p.40-52
Main Authors: Browne, J.A., Holmes, T.J.
Format: Article
Language:English
Subjects:
Attenuation
Biological and medical sciences
Biomedical measurements
Computed tomography
Extraterrestrial measurements
Image reconstruction
Investigative techniques, diagnostic techniques (general aspects)
Maximum likelihood estimation
Medical sciences
Miscellaneous. Technology
Positron emission tomography
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Reconstruction algorithms
Stochastic processes
X-ray imaging
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Summary:An approach to the maximum-likelihood estimation of attenuation coefficients in transmission tomography is presented as an extension of earlier theoretical work by K. Lange and R. Carson (J. Comput. Assist. Tomography, vol.8, p.306-16, 1984). The reconstruction algorithm is based on the expectation-maximization (EM) algorithm. Several simplifying approximations are introduced which make the maximization step of the algorithm available. Computer simulations are presented using noise-free and Poisson randomized projections. The images obtained with the EM-type method are compared to those reconstructed with the EM method of Lange and Carson and with filtered backprojection. Preliminary results show that there are potential advantages in using the maximum likelihood approaches in situations where a high-contrast object, such as bone, is embedded in low-contrast soft tissue.< >
ISSN:0278-0062
1558-254X
DOI:10.1109/42.126909