Vol 11, No 12 (December 2021): Quantitative Imaging in Medicine and Surgery (Artificial Intelligence for Image-guided Radiation Therapy)1

Original Article

Artificial intelligence-based bone-enhanced magnetic resonance image—a computed tomography/magnetic resonance image composite image modality in nasopharyngeal carcinoma radiotherapy
Liming Song, Yafen Li, Guoya Dong, Ricardo Lambo, Wenjian Qin, Yuenan Wang, Guangwei Zhang, Jing Liu, Yaoqin Xie
Prior information guided auto-contouring of breast gland for deformable image registration in postoperative breast cancer radiotherapy
Xin Xie, Yuchun Song, Feng Ye, Hui Yan, Shulian Wang, Xinming Zhao, Jianrong Dai
Predicting radiation pneumonitis with fuzzy clustering neural network using 4DCT ventilation image based dosimetric parameters
Peng Huang, Hui Yan, Zhihui Hu, Zhiqiang Liu, Yuan Tian, Jianrong Dai
Utilizing pre-determined beam orientation information in dose prediction by 3D fully-connected network for intensity modulated radiotherapy
Hui Yan, Shoulin Liu, Jingjing Zhang, Jianfei Liu, Teng Li
MRI classification using semantic random forest with auto-context model
Yang Lei, Tonghe Wang, Xue Dong, Sibo Tian, Yingzi Liu, Hui Mao, Walter J. Curran, Hui-Kuo Shu, Tian Liu, Xiaofeng Yang
Prior image-guided cone-beam computed tomography augmentation from under-sampled projections using a convolutional neural network
Zhuoran Jiang, Zeyu Zhang, Yushi Chang, Yun Ge, Fang-Fang Yin, Lei Ren
Exploratory ensemble interpretable model for predicting local failure in head and neck cancer: the additive benefit of CT and intra-treatment cone-beam computed tomography features
Howard E. Morgan, Kai Wang, Michael Dohopolski, Xiao Liang, Michael R. Folkert, David J. Sher, Jing Wang
A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning
Yang Sheng, Taoran Li, Yaorong Ge, Hui Lin, Wentao Wang, Lulin Yuan, Q. Jackie Wu
Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study
Ge Ren, Haonan Xiao, Sai-Kit Lam, Dongrong Yang, Tian Li, Xinzhi Teng, Jing Qin, Jing Cai
CBCT-based synthetic CT generation using generative adversarial networks with disentangled representation
Jiwei Liu, Hui Yan, Hanlin Cheng, Jianfei Liu, Pengjian Sun, Boyi Wang, Ronghu Mao, Chi Du, Shengquan Luo
Assessing the robustness of artificial intelligence powered planning tools in radiotherapy clinical settings—a phantom simulation approach
Martin Hito, Wentao Wang, Hunter Stephens, Yibo Xie, Ruilin Li, Fang-Fang Yin, Yaorong Ge, Q. Jackie Wu, Qiuwen Wu, Yang Sheng

Review Article

Deep learning for automatic target volume segmentation in radiation therapy: a review
Hui Lin, Haonan Xiao, Lei Dong, Kevin Boon-Keng Teo, Wei Zou, Jing Cai, Taoran Li
Artificial intelligence applications in intensity modulated radiation treatment planning: an overview
Yang Sheng, Jiahan Zhang, Yaorong Ge, Xinyi Li, Wentao Wang, Hunter Stephens, Fang-Fang Yin, Qiuwen Wu, Q. Jackie Wu
Artificial intelligence in image-guided radiotherapy: a review of treatment target localization
Wei Zhao, Liyue Shen, Md Tauhidul Islam, Wenjian Qin, Zhicheng Zhang, Xiaokun Liang, Gaolong Zhang, Shouping Xu, Xiaomeng Li
A review of deep learning-based three-dimensional medical image registration methods
Haonan Xiao, Xinzhi Teng, Chenyang Liu, Tian Li, Ge Ren, Ruijie Yang, Dinggang Shen, Jing Cai

Disclosure:

1. This focused issue “Artificial Intelligence for Image-guided Radiation Therapy” was commissioned by the editorial office, Quantitative Imaging in Medicine and Surgery without any sponsorship or funding. Jing Cai, Jianrong Dai and Lei Xing served as the unpaid Guest Editors for the focused issue.