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Iterative deblurring for CT metal artifact reduction
Abstract
Iterative deblurring methods using the expectation maximization (EM) formulation and the algebraic reconstruction technique (ART), respectively, are adapted for metal artifact reduction in medical computed tomography (CT). In experiments with synthetic noise-free and additive noisy projection data of dental phantoms, it is found that both simultaneous iterative algorithms produce superior image quality as compared to filtered backprojection after linearly fitting projection gaps. Furthermore, the EM-type algorithm converges faster than the ART-type algorithm in terms of either the I-divergence or Euclidean distance between ideal and reprojected data in the authors' simulation. Also, for a given iteration number, the EM-type deblurring method produces better image clarity but stronger noise than the ART-type reconstruction. The computational complexity of EM- and ART-based iterative deblurring is essentially the same, dominated by reprojection and backprojection. Relevant practical and theoretical issues are discussed.
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Cites
Principles of Computerized Tomographic Imaging
Kak, A. C., & Slaney, M. (2001) · doi:10.1137/1.9780898719277 · Cited by 5,809
Cited by
You, C., Cong, W., Vannier, M. W., Saha, P. K., Hoffman, E. A., Wang, G., Li, G., Zhang, Y., Zhang, X., Shan, H., et al. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2922960 · Cited by 459
Self-citationIterative reconstruction for helical CT: a simulation study
Nuyts, J., Man, B. D., Dupont, P., Defrise, M., Suetens, P., & Mortelmans, L. (1998) · Physics in Medicine and Biology · doi:10.1088/0031-9155/43/4/003 · Cited by 291
Metadata
- Authors
- Wang, G., Snyder, D. L., O'Sullivan, J. A., & Vannier, M. W.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1996
- Volume
- 15
- Issue
- 5
- Pages
- 657-664
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2095757123
- Cited by
- 409
- References
- 1
- FWCI
- 5.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Iterative deblurring for CT metal artifact reduction. https://app.cochat.ai/papers/10.1109/42.538943
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- Wang, G., Snyder, D. L., O'Sullivan, J. A., & Vannier, M. W. (1996). Iterative deblurring for CT metal artifact reduction. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.538943
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