The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An iterative maximum-likelihood polychromatic algorithm for CT
Open accessAbstract
A new iterative maximum-likelihood reconstruction algorithm for X-ray computed tomography is presented. The algorithm prevents beam hardening artifacts by incorporating a polychromatic acquisition model. The continuous spectrum of the X-ray tube is modeled as a number of discrete energies. The energy dependence of the attenuation is taken into account by decomposing the linear attenuation coefficient into a photoelectric component and a Compton scatter component. The relative weight of these components is constrained based on prior material assumptions. Excellent results are obtained for simulations and for phantom measurements. Beam-hardening artifacts are effectively eliminated. The relation with existing algorithms is discussed. The results confirm that improving the acquisition model assumed by the reconstruction algorithm results in reduced artifacts. Preliminary results indicate that metal artifact reduction is a very promising application for this new algorithm.
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Cites
A Method for Correcting Bone Induced Artifacts in Computed Tomography Scanners
Joseph, P. M., & Spital, R. D. (1978) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-197801000-00017 · Cited by 281 · cited 2×
“All other methods [ 18 ]‐[26] are either limited to two or three substances, or apply some extra approximations because of limited computational power at the time they were invented.”
BackgroundMethodPolychromatic Streak Artifacts in Computed Tomography Images
Duerinckx, A. J., & Macovski, A. (1978) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-197809000-00020 · Cited by 72 · cited 1×
“A third approach is the dual energy approach [7], [16], [28]–[32].”
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Cited by
Applications of X-ray computed tomography in the geosciences
Mees, F., Swennen, R., Geet, M. V., & Jacobs, P. (2003) · Geological Society, London, Special Publications · doi:10.1144/gsl.sp.2003.215.01.01 · Cited by 542
Metadata
- Authors
- De Man, B., Nuyts, J., Dupont, P., Marchal, G., & Suetens, P.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2001
- Volume
- 20
- Issue
- 10
- Pages
- 999-1008
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2154280873
- Cited by
- 430
- References
- 2
- FWCI
- 8.63
- Type
- journal article
- Language
- en
- Open access
- green
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- De Man, B., Nuyts, J., Dupont, P., Marchal, G., & Suetens, P. (2001). An iterative maximum-likelihood polychromatic algorithm for CT. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.959297
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