Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy
L Gao, K Xie, X Wu, Z Lu, C Li, J Sun, T Lin, J Sui… - Radiation Oncology, 2021 - Springer
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 …
cone-beam CT (CBCT) images by using attention-guided generative adversarial networks …
The status of medical physics in radiotherapy in China
H Yan, Z Hu, P Huang, K Men, Y Zhang, LH Wang… - Physica Medica, 2021 - Elsevier
Purpose 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 …
including facilities and devices, occupation, education, research, etc. Materials and methods …
Deep learning-based projection synthesis for low-dose cone-beam computed tomography imaging in image-guided radiotherapy
X Zhao, Y Du, H Yue, R Wang, S Zhou… - … Imaging in Medicine …, 2023 - pmc.ncbi.nlm.nih.gov
Background The imaging dose of cone-beam computed tomography (CBCT) in image-
guided radiotherapy (IGRT) poses adverse effects on patient health. To improve the quality …
guided radiotherapy (IGRT) poses adverse effects on patient health. To improve the quality …
[HTML][HTML] Very deep super-resolution for efficient cone-beam computed tomographic image restoration
JJ Hwang, YH Jung, BH Cho… - Imaging Science in …, 2020 - ncbi.nlm.nih.gov
Purpose As cone-beam computed tomography (CBCT) has become the most widely used 3-
dimensional (3D) imaging modality in the dental field, storage space and costs for large …
dimensional (3D) imaging modality in the dental field, storage space and costs for large …
[HTML][HTML] Assessment of Feldkamp-Davis-Kress Reconstruction Parameters in Overall Image Quality in Cone Beam Computed Tomography
H Kim, JS Choi, Y Lee - Applied Sciences, 2024 - mdpi.com
In low-dose cone beam computed tomography (CT), the insufficient number of photons
inevitably results in noise, which reduces the accuracy of disease diagnosis. One approach …
inevitably results in noise, which reduces the accuracy of disease diagnosis. One approach …
Mutual information-based non-local total variation denoiser for low-dose cone-beam computed tomography
Conventional non-local total variation (NLTV) approaches use the weight of a non-local
means (NLM) filter, which degrades performance in low-dose cone-beam computed …
means (NLM) filter, which degrades performance in low-dose cone-beam computed …
Single-view cone beam CT reconstruction with Swin transformer based deep learning
S Huang, Y Song, J Rong, T Liu… - … Imaging 2023: Image …, 2023 - spiedigitallibrary.org
Cone beam CT (CBCT) imaging with sparse-view can effectively reduce the radiation dose
risk. The convolution-based end-to-end deep learning methods have been used in single …
risk. The convolution-based end-to-end deep learning methods have been used in single …
Low-Dose Cone Beam CT Reconstruction by Deep Neural Network for Image-Guided Radiation Therapy
T Wu, C Zhou, X Gao, R Zhong, H Xu… - … Annual Conference on …, 2023 - ieeexplore.ieee.org
Radiation therapy is regarded as the mainstay treatment for cancer in clinic. Kilovoltage
cone-beam CT (CBCT) images have been acquired for most treatment sites as the clinical …
cone-beam CT (CBCT) images have been acquired for most treatment sites as the clinical …