Synthetic CT generation based on multi-sequence MR using CycleGAN for head and neck MRI-only planning-Reference-Cited by-同舟云学术

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Synthetic CT generation based on multi-sequence MR using CycleGAN for head and neck MRI-only planning

Published:2024-06-22 Issue: Volume: Page:
ISSN:2093-9868
Container-title:Biomedical Engineering Letters
language:en
Short-container-title:Biomed. Eng. Lett.

Author:

Deng Liwei,Chen Songyu,Li Yunfa,Huang Sijuan,Yang Xin^ORCID,Wang Jing^ORCID

Funder

the National Science Foundation for Young Scientists of China

Science Fund for Distinguished Young Scholars of Heilongjiang Province

Basic and Applied Basic Research Foundation of Guangdong Province

the Youth Innovation Project of Sun Yat-sen University Cancer Center

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13534-024-00402-2.pdf

Reference39 articles.

1. Korsholm ME, Waring LW, Edmund JM. A criterion for the reliable use of MRI-only radiotherapy. Radiat Oncol. 2014;9(1):1–7.

2. Fu J, Singhrao K, Cao M, et al. Generation of abdominal synthetic CTs from 035 T MR images using generative adversarial networks for MR-only liver radiotherapy. Biomed Phys Eng Express. 2020;6(1): 015033.

3. Brou Boni KN, Klein J, Gulyban A, et al. Improving generalization in MR-to-CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data. Med Phys. 2021;48(6):3003–10.

4. O’Connor LM, Dowling JA, Choi JH, et al. Validation of an MRI-only planning workflow for definitive pelvic radiotherapy. Radiat Oncol. 2022;17(1):1–11.

5. Masitho S, Szkitsak J, Grigo J, et al. Feasibility of artificial-intelligence-based synthetic computed tomography in a magnetic resonance-only radiotherapy workflow for brain radiotherapy: two-way dose validation and 2d/2d Kv-image-based positioning. Phys Imaging Radiat Oncol. 2022;24:111–7.

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