用于超稀疏视图计算机断层扫描的基于滑动体积的条纹伪影减少网络（S-STAR Net）。 - Suppr

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超能文献

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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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

相似文献

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

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

Convolutional neural network-based metal and streak artifacts reduction in dental CT images with sparse-view sampling scheme.

Med Phys. 2022 Sep;49(9):6253-6277. doi: 10.1002/mp.15884. Epub 2022 Aug 10.

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DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography.

Med Image Anal. 2022 Jan;75:102289. doi: 10.1016/j.media.2021.102289. Epub 2021 Oct 29.

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Med Phys. 2022 Dec;49(12):7497-7515. doi: 10.1002/mp.15885. Epub 2022 Aug 8.

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BMC Med Imaging. 2024 Feb 6;24(1):34. doi: 10.1186/s12880-024-01216-5.

Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT images.

Med Phys. 2023 Dec;50(12):7731-7747. doi: 10.1002/mp.16552. Epub 2023 Jun 11.

Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study.

J Imaging Inform Med. 2025 Aug 27. doi: 10.1007/s10278-025-01639-8.

本文引用的文献

RBP-DIP: Residual back projection with deep image prior for ill-posed CT reconstruction.

Neural Netw. 2024 Dec;180:106740. doi: 10.1016/j.neunet.2024.106740. Epub 2024 Sep 17.

Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction.

IEEE Trans Med Imaging. 2024 May;43(5):1866-1879. doi: 10.1109/TMI.2024.3351722. Epub 2024 May 2.

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Quant Imaging Med Surg. 2023 Aug 1;13(8):5271-5293. doi: 10.21037/qims-22-1384. Epub 2023 Jun 29.

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Comput Biol Med. 2023 Jul;161:106888. doi: 10.1016/j.compbiomed.2023.106888. Epub 2023 Apr 3.

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Comput Methods Programs Biomed. 2022 Nov;226:107167. doi: 10.1016/j.cmpb.2022.107167. Epub 2022 Oct 5.

PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers.

IEEE Trans Med Imaging. 2022 Oct;41(10):2925-2940. doi: 10.1109/TMI.2022.3174827. Epub 2022 Sep 30.

Sparse-view CT reconstruction based on multi-level wavelet convolution neural network.

Phys Med. 2020 Dec;80:352-362. doi: 10.1016/j.ejmp.2020.11.021. Epub 2020 Dec 3.

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning.

Proc IEEE Inst Electr Electron Eng. 2020 Jan;108(1):86-109. doi: 10.1109/JPROC.2019.2936204. Epub 2019 Sep 19.

A cone-beam X-ray computed tomography data collection designed for machine learning.

Sci Data. 2019 Oct 22;6(1):215. doi: 10.1038/s41597-019-0235-y.

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction.

IEEE Trans Med Imaging. 2020 Mar;39(3):634-643. doi: 10.1109/TMI.2019.2933425. Epub 2019 Aug 5.