Low-dose cone-beam CT (LD-CBCT) reconstruction for image-guided radiation therapy (IGRT) by three-dimensional dual-dictionary learning

Song, Ying; Zhang, Weikang; Zhang, Hong; Wang, Qiang; Xiao, Qing; Li, Zhibing; Wei, Xing; Lai, Jialu; Wang, Xuetao; Wan, Li; Gong, Pengjian; Zhong, Rugang; Zhao, Jun

doi:10.1186/s13014-020-01630-3

Cited by 9 publications

(8 citation statements)

References 23 publications

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“…Previous study indicated that daily CBCT scan for IGRT could increase the secondary cancer risk by 2% up to 4% [ 6 ]. To reduce the additional dose for patients generated from IGRT, the researchers have proposed several low-dose CBCT imaging technologies [ 7 , 8 ]. Now, the low-dose protocols of CBCT scanning have been widely used in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

Gao

Xie

et al. 2021

Radiat Oncol

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Objective To develop high-quality synthetic CT (sCT) generation method from low-dose cone-beam CT (CBCT) images by using attention-guided generative adversarial networks (AGGAN) and apply these images to dose calculations in radiotherapy. Methods The CBCT/planning CT images of 170 patients undergoing thoracic radiotherapy were used for training and testing. The CBCT images were scanned under a fast protocol with 50% less clinical projection frames compared with standard chest M20 protocol. Training with aligned paired images was performed using conditional adversarial networks (so-called pix2pix), and training with unpaired images was carried out with cycle-consistent adversarial networks (cycleGAN) and AGGAN, through which sCT images were generated. The image quality and Hounsfield unit (HU) value of the sCT images generated by the three neural networks were compared. The treatment plan was designed on CT and copied to sCT images to calculated dose distribution. Results The image quality of sCT images by all the three methods are significantly improved compared with original CBCT images. The AGGAN achieves the best image quality in the testing patients with the smallest mean absolute error (MAE, 43.5 ± 6.69), largest structural similarity (SSIM, 93.7 ± 3.88) and peak signal-to-noise ratio (PSNR, 29.5 ± 2.36). The sCT images generated by all the three methods showed superior dose calculation accuracy with higher gamma passing rates compared with original CBCT image. The AGGAN offered the highest gamma passing rates (91.4 ± 3.26) under the strictest criteria of 1 mm/1% compared with other methods. In the phantom study, the sCT images generated by AGGAN demonstrated the best image quality and the highest dose calculation accuracy. Conclusions High-quality sCT images were generated from low-dose thoracic CBCT images by using the proposed AGGAN through unpaired CBCT and CT images. The dose distribution could be calculated accurately based on sCT images in radiotherapy.

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Section: Introductionmentioning

confidence: 99%

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

Gao

Xie

et al. 2021

Radiat Oncol

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“…In order to obtain a scale ratio similar to the clinically acceptable PNSR (36.36) of low-dose CBCT, 9 0.1-unit intervals between compression ratios of 2 and 3 were evaluated.…”

Section: Methodsmentioning

confidence: 99%

Very deep super-resolution for efficient cone-beam computed tomographic image restoration

2020

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“…After 2015, the number of publications is increased significantly. There are 9 publications in 2016 [118][119][120][121][122][123][124][125][126], 7 publications in 2017 [127][128][129][130][131][132][133], 10 publications in 2018 [134][135][136][137][138][139][140][141][142][143], 9 publications in 2019 [144][145][146][147][148][149][150][151][152] and 8 publications in 2020 [153][154][155][156][157][158][159][160]. Within the subspecialty of radiation therapy, the numbers of publications in the fields of clinical implementation, plan optimization, plan evaluation and quality assurance are 23 papers (37%), 16 papers (26%), 14 papers (23%) and 9 papers (14%), respectively.…”

Section: Scientific Researchmentioning

confidence: 99%

The status of medical physics in radiotherapy in China

Yan

Huang

et al. 2021

Physica Medica

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To present an overview of the status of medical physics in radiotherapy in China, including facilities and devices, occupation, education, research, etc. Materials and methods: The information about medical physics in clinics was obtained from the 9-th nationwide survey conducted by the China Society for Radiation Oncology in 2019. The data of medical physics in education and research was collected from the publications of the official and professional organizations. Results: By 2019, there were 1463 hospitals or institutes registered to practice radiotherapy and the number of accelerators per million population was 1.5. There were 4172 medical physicists working in clinics of radiation oncology. The ratio between the numbers of radiation oncologists and medical physicists is 3.51. Approximately, 95% of medical physicists have an undergraduate or graduate degrees in nuclear physics and biomedical engineering. 86% of medical physicists have certificates issued by the Chinese Society of Medical Physics. There has been a fast growth of publications by authors from mainland of China in the top international medical physics and radiotherapy journals since 2018. Conclusions: Demand for medical physicists in radiotherapy increased quickly in the past decade. The distribution of radiotherapy facilities in China became more balanced. High quality continuing education and training programs for medical physicists are deficient in most areas. The role of medical physicists in the clinic has not been clearly defined and their contributions have not been fully recognized by the community.Prof. Xu Haichao in 1940s at Peking Union Medical College (PUMC). He worked with Prof. Marvin Williomus, an American medical physicist, to treat cancer patients using a 400 kV X-ray unit [7]. The department of radiology in Caner Institute of Chinese Academy of Medical Sciences (CICAMS) started to treat patients with a Cobalt-60 unit in 1958. At the same year, the division of radiation physics in CICAMS was founded. They made the manual multi-leaf collimator and installed it on Cobalt-60 machine in 1965. Later, they made the remote control system for brachytherapy machine using Cobalt-60 source ball in 1965Cobalt-60 source ball in -1967.From 1970, China began to build linear accelerators and on-board imaging devices. As a result, 25 MeV Betatron, Simulator and Cobalt-60 brachytherapy machine were produced by Tianjing therapeutic instrument factory [9]. Meanwhile, Beijing Medical Apparatus and Instruments Institute built the first linear accelerator [10]. Since 1976, the major hospitals started to purchase high-end linear accelerators, CT, Brachytron and planning software from USA and Europe [11]. Following the clinical application of the linear accelerators, text books in Chinese

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Low-dose cone-beam CT (LD-CBCT) reconstruction for image-guided radiation therapy (IGRT) by three-dimensional dual-dictionary learning

Cited by 9 publications

References 23 publications

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy

Very deep super-resolution for efficient cone-beam computed tomographic image restoration

The status of medical physics in radiotherapy in China

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