The DOI matches its Crossref record.
Reduction of CT artifacts caused by metallic implants.
Abstract
A technique to reduce metallic implant artifacts on computed tomography scans is presented. The implant boundaries are determined semiautomatically; the missing projection data are replaced by linear interpolation. The complete procedure requires 1-2 minutes per scan. Images with greatly improved quality were obtained in the presence of surgical clips and pelvic implants; success is limited in highly structured regions, such as the facial skull.
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Citations
Cited by
CT artifacts: causes and reduction techniques
Boas, F. E., & Fleischmann, D. (2012) · Imaging in Medicine · doi:10.2217/iim.12.13 · Cited by 848
Improved total variation-based CT image reconstruction applied to clinical data
Ritschl, L., Bergner, F., Fleischmann, C., & Kachelrieß, M. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/6/003 · Cited by 306
Dual-Energy CT for the Musculoskeletal System
Mallinson, P. I., Coupal, T. M., McLaughlin, P. D., Nicolaou, S., Munk, P. L., & Ouellette, H. A. (2016) · Radiology · doi:10.1148/radiol.2016151109 · Cited by 242
Metadata
- Authors
- Kalender, W. A., Hebel, R., & Ebersberger, J.
- Venue
- Radiology
- Published
- 1987-08
- Volume
- 164
- Issue
- 2
- Pages
- 576-577
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2154129661
- Cited by
- 751
- References
- 0
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Reduction of CT artifacts caused by metallic implants. https://app.cochat.ai/papers/10.1148/radiology.164.2.3602406
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- Kalender, W. A., Hebel, R., & Ebersberger, J. (1987). Reduction of CT artifacts caused by metallic implants. Radiology. https://doi.org/10.1148/radiology.164.2.3602406
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
