An MR‐only deep learning inference model‐based dose estimation algorithm for MR‐guided adaptive radiation therapy
This study presents a novel MR-only dose calculation engine that eliminates the need for CT images and complex RT processes. By leveraging DL, the proposed method significantly enhances the efficiency and accuracy of the MRgART workflow, particularly for prostate cancer treatment. This approach holds potential for broader applications across different cancer types and MR-linac systems, paving the way for more streamlined and precise radiation therapy planning.
Authors
- Jianrong Dai
- Zhiqiang Liu (ORCID: https://orcid.org/0000-0002-0677-8097)
- Jiawei Fan (ORCID: https://orcid.org/0009-0008-7959-2606)
- Weigang Hu
- Kuo Men (ORCID: https://orcid.org/0000-0001-9754-2241)
Institutions
- Shanghai Medical College of Fudan University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fudan University Shanghai Cancer Center (CN)
- Shanghai Institute of Hematology (CN)
- Shanghai Clinical Research Center (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-03-16
- DOI
- https://doi.org/10.1002/mp.17759
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- National Natural Science Foundation of China