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Sliding volume-based streak artifact reduction network (S-STAR Net) for ultra-sparse-view computed tomography.

作者信息

Zhang Shiang, Hu Yibo, Deng Ziheng, Wang Yujie, Zhao Jun, Sun Jianqi

机构信息

Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China.

出版信息

BMC Med Imaging. 2025 Sep 1;25(1):364. doi: 10.1186/s12880-025-01910-y.

DOI:10.1186/s12880-025-01910-y
PMID:40890634
Abstract
摘要

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Neural Netw. 2024 Dec;180:106740. doi: 10.1016/j.neunet.2024.106740. Epub 2024 Sep 17.
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Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction.Quad-Net：用于减少CT金属伪影的四域网络。
IEEE Trans Med Imaging. 2024 May;43(5):1866-1879. doi: 10.1109/TMI.2024.3351722. Epub 2024 May 2.
3
Dynamic controllable residual generative adversarial network for low-dose computed tomography imaging.
用于低剂量计算机断层扫描成像的动态可控残差生成对抗网络
Quant Imaging Med Surg. 2023 Aug 1;13(8):5271-5293. doi: 10.21037/qims-22-1384. Epub 2023 Jun 29.
4
An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction.基于注意力机制的深度卷积神经网络用于超稀疏视角 CT 重建。
Comput Biol Med. 2023 Jul;161:106888. doi: 10.1016/j.compbiomed.2023.106888. Epub 2023 Apr 3.
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Sparse-view and limited-angle CT reconstruction with untrained networks and deep image prior.基于未训练网络和深度图像先验的稀疏视图和有限角度 CT 重建。
Comput Methods Programs Biomed. 2022 Nov;226:107167. doi: 10.1016/j.cmpb.2022.107167. Epub 2022 Oct 5.
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IEEE Trans Med Imaging. 2022 Oct;41(10):2925-2940. doi: 10.1109/TMI.2022.3174827. Epub 2022 Sep 30.
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Phys Med. 2020 Dec;80:352-362. doi: 10.1016/j.ejmp.2020.11.021. Epub 2020 Dec 3.
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Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning.图像重建：从稀疏性到数据自适应方法与机器学习
Proc IEEE Inst Electr Electron Eng. 2020 Jan;108(1):86-109. doi: 10.1109/JPROC.2019.2936204. Epub 2019 Sep 19.
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A cone-beam X-ray computed tomography data collection designed for machine learning.用于机器学习的锥形束 X 射线计算机断层扫描数据采集。
Sci Data. 2019 Oct 22;6(1):215. doi: 10.1038/s41597-019-0235-y.
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ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction.ADN：用于无监督金属伪影减少的artifact 解缠网络。
IEEE Trans Med Imaging. 2020 Mar;39(3):634-643. doi: 10.1109/TMI.2019.2933425. Epub 2019 Aug 5.