Improving cone-beam computed tomography image quality for transarterial therapy of liver malignancies: Evaluation of a motion correction algorithm with and without automated bone removal
Motion artifact correction of liver CBCT images using CAVAREC improves image quality significantly. According to observer studies, integrating the automated bone segmentation algorithm ZIBOS with CAVAREC does not degrade image quality.
Authors
- Robert P. Liddell (ORCID: https://orcid.org/0000-0002-9607-2484)
- Nariman Nezami (ORCID: https://orcid.org/0000-0002-8829-1548)
- Clifford R. Weiss (ORCID: https://orcid.org/0000-0003-2180-1731)
- Abdul Rehman Mustafa (ORCID: https://orcid.org/0009-0009-8783-5644)
- Peter Fischer (ORCID: https://orcid.org/0000-0003-3242-9867)
- Adham Khalil (ORCID: https://orcid.org/0000-0002-0582-8160)
- Fereshteh Khorshidi
- Arun Kamireddy (ORCID: https://orcid.org/0000-0003-2533-6179)
- Christopher R. Bailey (ORCID: https://orcid.org/0000-0001-8926-7083)
- Tina Ehtiati
- İzzet Altun (ORCID: https://orcid.org/0000-0001-6497-9017)
- Alexander Preuhs (ORCID: https://orcid.org/0000-0001-9588-2488)
- Dana Angelina Schaar
- Heyuan Huang (ORCID: https://orcid.org/0000-0002-9351-1285)
Institutions
- University of Maryland, Baltimore (US)
- Siemens (Germany) (DE)
- Johns Hopkins University (US)
- University of Pittsburgh (US)
- Georgetown University (US)
- Johns Hopkins Medicine (US)
- Georgetown University Medical Center (US)
- Medical Solutions (GB)
- Siemens Healthcare (United States) (US)
Publication Details
- Journal
- Journal of Clinical Imaging Science
- Published
- 2025-11-20
- DOI
- https://doi.org/10.25259/jcis_150_2025
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00