Artificial Intelligence-Based Image Enhancement in PET Imaging Noise Reduction and Resolution Enhancement

被引：58
作者：
Liu, Juan [1 ]
Malekzadeh, Masoud [2 ]
Mirian, Niloufar [1 ]
Song, Tzu-An [2 ]
Liu, Chi [1 ]
Dutta, Joyita [2 ,3 ,4 ]
机构：
[1] Yale Sch Med, Dept Radiol & Biomed Imaging, New Haven, CT 06510 USA
[2] Univ Massachusetts, Dept Elect & Comp Engn, 1 Univ Ave,Ball 301, Lowell, MA 01854 USA
[3] Massachusetts Gen Hosp, Gordon Ctr Med Imaging, Boston, MA 02114 USA
[4] Harvard Med Sch, Boston, MA 02115 USA
来源：
PET CLINICS | 2021年 / 16卷 / 04期
关键词：
PET; Artificial intelligence; Deep learning; Denoising; Deblurring; Super-resolution; POSITRON-EMISSION-TOMOGRAPHY; NEURAL-NETWORK; RECONSTRUCTION; ALGORITHM; DIAGNOSIS; SYSTEM; SPACE; MRI;
D O I：
10.1016/j.cpet.2021.06.005
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
[No abstract available]
引用
收藏
页码：553 / 576
页数：24
相关论文
共 109 条
[101]  
Xu F, 2020, J NUCL MED, V61
[102]   A 3D attention residual encoder-decoder least-square GAN for low-count PET denoising [J].
Xue, Hengzhi ;
Teng, Yueyang ;
Tie, Changjun ;
Wan, Qian ;
Wu, Jun ;
Li, Ming ;
Liang, Guodong ;
Liang, Dong ;
Liu, Xin ;
Zheng, Hairong ;
Yang, Yongfeng ;
Hu, Zhanli ;
Zhang, Na .
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 983
[103]   Self-supervised PET Denoising [J].
Yie, Si Young ;
Kang, Seung Kwan ;
Hwang, Donghwi ;
Lee, Jae Sung .
NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2020, 54 (06) :299-304
[104]   Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior [J].
Yokota, Tatsuya ;
Hontani, Hidekata ;
Zhao, Qibin ;
Cichocki, Andrzej .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (03) :1022-1036
[105]   Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning [J].
Yu, Ke ;
Dong, Chao ;
Lin, Liang ;
Loy, Chen Change .
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, :2443-2452
[106]   Study of low-dose PET image recovery using supervised learning with CycleGAN [J].
Zhao, Kui ;
Zhou, Long ;
Gao, Size ;
Wang, Xiaozhuang ;
Wang, Yaofa ;
Zhao, Xin ;
Wang, Huatao ;
Liu, Kanfeng ;
Zhu, Yunqi ;
Ye, Hongwei .
PLOS ONE, 2020, 15 (09)
[107]   Supervised learning with cyclegan for low-dose FDG PET image denoising [J].
Zhou, Long ;
Schaefferkoetter, Joshua D. ;
Tham, Ivan W. K. ;
Huang, Gang ;
Yan, Jianhua .
MEDICAL IMAGE ANALYSIS, 2020, 65
[108]   Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [J].
Zhu, Jun-Yan ;
Park, Taesung ;
Isola, Phillip ;
Efros, Alexei A. .
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, :2242-2251
[109]   A Comprehensive Survey on Transfer Learning [J].
Zhuang, Fuzhen ;
Qi, Zhiyuan ;
Duan, Keyu ;
Xi, Dongbo ;
Zhu, Yongchun ;
Zhu, Hengshu ;
Xiong, Hui ;
He, Qing .
PROCEEDINGS OF THE IEEE, 2021, 109 (01) :43-76
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