Reducing Metal Artifacts in Clinical Photon Counting Detector Computed Tomography—A Phantom Study of an Exemplary Total Hip Arthroplasty
Combining tin-filter, UHR and MAR in VMI or polychromatic images achieve the strongest artifact reduction.
Authors
- Roy Marcus (ORCID: https://orcid.org/0000-0002-5456-7366)
- Daniel Nanz (ORCID: https://orcid.org/0000-0003-4128-5201)
- Julian A. Anhaus (ORCID: https://orcid.org/0000-0001-5295-0284)
- Sophia S. Goller (ORCID: https://orcid.org/0000-0002-0964-8386)
- Reto Sutter (ORCID: https://orcid.org/0000-0001-6355-9838)
- Georg C. Feuerriegel (ORCID: https://orcid.org/0000-0001-5313-5011)
- Adrian A. Marth (ORCID: https://orcid.org/0000-0002-7334-0757)
Institutions
- University of Zurich (CH)
- Universitätsklinik Balgrist (CH)
- Siemens Healthineers (Germany) (DE)
Publication Details
- Journal
- Skeletal Radiology
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1007/s00256-024-04820-2
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- Universität Zürich