Benchmarking and performance evaluation of a novel deformable image registration software for radiotherapy CT images
The novel DIR software demonstrated clinically acceptable accuracy compared to other commercial systems, supporting its potential use in radiotherapy treatment planning applications such as automatic image segmentation, 4D segmentation propagation, and dose warping.
Authors
- Jonathan G. Li
- Chris Beltran (ORCID: https://orcid.org/0000-0001-7688-0815)
- Bo Lü (ORCID: https://orcid.org/0000-0002-3807-7869)
- Shorug S Alshammari
- Sridhar Yaddanapudi (ORCID: https://orcid.org/0000-0001-9796-8576)
- K. Anderle
- Keith M. Furutani (ORCID: https://orcid.org/0000-0002-6794-2540)
- R Ivancić
- Blaž Kušnik
Institutions
- University of Florida (US)
- Cosylab (SI)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Technical Innovations & Patient Support in Radiation Oncology
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1016/j.tipsro.2024.100295
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.61