Investigation of cardiac substructure automatic segmentation methods on synthetically generated 4D cone‐beam CT images
This simulation study investigates the accuracy of different cardiac substructure segmentation methods for 4D-CBCT images. Accurate 4D-CBCT cardiac segmentation will provide more accurate information on the location of cardiac anatomy during STAR treatments which can lead to safer and more effective STAR. As the data and segmentation methods used in this study are all open source, this study provides a useful benchmarking tool to evaluate other CBCT cardiac segmentation methods.
Authors
- Paul Keall (ORCID: https://orcid.org/0000-0003-4803-6507)
- Vicky Chin (ORCID: https://orcid.org/0000-0002-8908-1243)
- Mark Gardner (ORCID: https://orcid.org/0000-0003-4340-2547)
- Tess Reynolds (ORCID: https://orcid.org/0000-0003-0543-9170)
- Owen Dillon (ORCID: https://orcid.org/0000-0002-3002-384X)
- Robert Finnegan (ORCID: https://orcid.org/0000-0003-4728-8462)
Institutions
- The University of Sydney (AU)
- Royal North Shore Hospital (AU)
- Cancer Australia (AU)
- Ingham Institute (AU)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1002/mp.17596
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00