Empirical Motion-Artifact Reduction for Non-Rigid Motion in Dedicated Breast CT
This work introduces a fully data-driven empirical motion-artifact reduction capable of identifying and minimizing motion artifacts without an underlying model of motion.
Authors
- Sjoerd A. M. Tunissen
- Juan J. Pautasso
- Andrew M. Hernandez (ORCID: https://orcid.org/0000-0002-1806-7073)
- Nikita Moriakov (ORCID: https://orcid.org/0000-0002-7127-1006)
- Koen Michielsen (ORCID: https://orcid.org/0000-0002-6949-7209)
- Ioannis Sechopoulos (ORCID: https://orcid.org/0000-0001-9615-8205)
- John M. Boone (ORCID: https://orcid.org/0000-0003-3708-698X)
- Mikhail Mikerov (ORCID: https://orcid.org/0000-0002-2517-8062)
Institutions
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- The Netherlands Cancer Institute (NL)
- Radboud Institute for Molecular Life Sciences (NL)
- Oncode Institute (NL)
- University of California, Davis (US)
- University of Twente (NL)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1109/tbme.2025.3562610
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission