Partial volume effect on kidney stones and lung nodules in CT imaging
This study highlights the potential risks associated with inaccurate raw data postprocessing of CT images with objects that are particularly sensitive to the PVE, such as kidney stones and high-density calcifications (Agatston score).
Authors
- Beat Roth (ORCID: https://orcid.org/0000-0002-7369-650X)
- Andreas Christe (ORCID: https://orcid.org/0000-0002-2355-2591)
- Alan A. Peters (ORCID: https://orcid.org/0000-0002-9864-6381)
- Adrian Thomas Huber (ORCID: https://orcid.org/0000-0001-6146-8238)
- Georgios Delimpasis
- Daniel Guido Fuster (ORCID: https://orcid.org/0000-0001-7220-1803)
- Dionysios Drakopoulos
- Lukas Ebner (ORCID: https://orcid.org/0000-0001-5117-6047)
- Verena Carola Obmann (ORCID: https://orcid.org/0000-0001-6572-9968)
- Grazia M. Cereghetti (ORCID: https://orcid.org/0009-0005-2228-8169)
- Elias Primetis
- Karim Shakarchi
Institutions
- University of Bern (CH)
- University Hospital of Bern (CH)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1371/journal.pone.0334597
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00