Deep learning‐based synthetization of real‐time in‐treatment 4D images using surface motion and pretreatment images: A proof‐of‐concept study-Reference-Cited by-同舟云学术

Deep learning‐based synthetization of real‐time in‐treatment 4D images using surface motion and pretreatment images: A proof‐of‐concept study

Published:2022-07-22 Issue:11 Volume:49 Page:7016-7024
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Huang Yuliang¹²,Dong Zhengkun¹³,Wu Hao¹³,Li Chenguang¹³,Liu Hongjia¹³,Zhang Yibao¹³

Affiliation:

1. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing) Department of Radiation Oncology Peking University Cancer Hospital and Institute Beijing China

2. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering University College London London UK

3. Institute of Medical Technology Peking University Health Science Center Beijing China

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15858

Reference20 articles.

1. Patient-specific quantification of respiratory motion-induced dose uncertainty for step-and-shoot IMRT of lung cancer

2. Advances in the use of motion management and image guidance in radiation therapy treatment for lung cancer

3. The correlation between internal and external markers for abdominal tumors: Implications for respiratory gating

4. Quantification of the kV X-ray imaging dose during real-time tumor tracking and from three- and four-dimensional cone-beam computed tomography in lung cancer patients using a Monte Carlo simulation

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