Proof of concept of a fully unsupervised anomaly detection framework in CBCT‐guided radiotherapy
The novel iGuARD framework presented in this study offers a way to automatically identify the patient setup CBCT scans and treatment fractions which are deviating from normality and may require the attention of the physician and/or physicist. This tool may not only improve the efficiency of repetitive and time-consuming quality assurance checks but may positively impact patient safety and treatment outcomes.
Authors
- Moritz Ritter
- James Lamb (ORCID: https://orcid.org/0000-0002-0440-4972)
- Dishane C. Luximon (ORCID: https://orcid.org/0000-0003-0568-5865)
- Rachel Petragallo (ORCID: https://orcid.org/0000-0002-0012-7357)
- John Neylon
- Timothy Ritter
- Justin Pijanowski
Institutions
- University of California, Los Angeles (US)
- Virginia Commonwealth University (US)
- ETH Zurich (CH)
- University of Colorado Denver (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/mp.18020
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00