Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images
The proposed framework can generate accurate 3D CT faithfully mirroring patient position effectively, thus substantially improving patient setup accuracy, keeping imaging dose minimal, and maintaining treatment veracity.
Authors
- Jean‐Claude M. Rwigema (ORCID: https://orcid.org/0000-0003-2180-1280)
- Hongying Feng (ORCID: https://orcid.org/0000-0003-2929-4922)
- Baoxin Li (ORCID: https://orcid.org/0000-0002-9294-4572)
- Samir H. Patel (ORCID: https://orcid.org/0000-0002-8251-574X)
- Johanna Daniel
- Jason Holmes (ORCID: https://orcid.org/0000-0001-8943-9471)
- Robert L. Foote
- Wei Liu (ORCID: https://orcid.org/0000-0003-0935-3999)
- William W. Wong (ORCID: https://orcid.org/0000-0002-7629-5859)
- Yuzhen Ding (ORCID: https://orcid.org/0000-0002-9656-2766)
- Sujay A. Vora
- L.A. McGee (ORCID: https://orcid.org/0000-0003-1890-0237)
Institutions
- WinnMed (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- Mayo Clinic in Florida (US)
- Arizona State University (US)
Publication Details
- Journal
- Communications Medicine
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1038/s43856-024-00672-y
- Citations
- 4
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Cancer Institute