Advanced Iterative Metal Artifact Reduction With Intrinsic Spectral Information From Photon-counting Detector Computed Tomography
Experimental evidence from a bovine femur implant model suggests that a new, advanced iterative metal artifact reduction algorithm leveraging intrinsic spectral information from photon-counting detector CT effectively reduces metal artifacts and further improves the visualization of the metal-bone interface. Thus, this technique has the potential to enhance the assessment of implant-related complications such as aseptic loosening.
Authors
- Matthias Eberhard (ORCID: https://orcid.org/0000-0002-9476-3759)
- Sandro-Michael Heining (ORCID: https://orcid.org/0000-0002-6085-2315)
- Thilo Schikorra
- Andreas Specovius
- Hatem Alkadhi
- Victor Mergen
- Tristan T. Demmert
- Konstantin Klambauer
- Thomas Flohr
- Lukas J. Moser
- Bernhard Schmidt
Publication Details
- Journal
- Investigative Radiology
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1097/rli.0000000000001282
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00