Erratum to: A method to assess image quality for Low-dose PET: analysis of SNR, CNR, bias and image noise

被引:0
|
作者
Jianhua Yan
Josh Schaefferkoetter
Maurizio Conti
David Townsend
机构
[1] First Hospital of Shanxi Medical University,Department of Nuclear Medicine
[2] Shanxi Medical University,Molecular Imaging Precision Medicine Collaborative Innovation Center
[3] A*STAR-NUS,Department of Diagnostic Radiology
[4] Clinical Imaging Research Center,undefined
[5] Center for Translational Medicine,undefined
[6] National University Hospital,undefined
[7] Siemens Healthcare Molecular Imaging,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] A Low-Dose CT Image Denoising Method Based on Generative Adversarial Network and Noise Level Estimation
    Zhang Xiong
    Yang Linlin
    Hong, Shangguan
    Han Zefang
    Han Xinglong
    Wang Anhong
    Cui Xueying
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (08) : 2404 - 2413
  • [32] Study of low-dose PET image recovery using supervised learning with CycleGAN
    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):
  • [33] A Hybrid Neural Network Architecture to improve low-dose PET Image Reconstruction
    Kaviani, S.
    Sanaat, A.
    Mokri, M.
    Cohalan, C.
    Carrier, J.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (SUPPL 1) : S100 - S100
  • [34] Image Quality Measurement for Low-Dose Human Lung CT Scans
    Bognar, Gergo
    2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2015, : 587 - 591
  • [35] Effects of sparse sampling schemes on image quality in low-dose CT
    Abbas, Sajid
    Lee, Taewon
    Shin, Sukyoung
    Lee, Rena
    Cho, Seungryong
    MEDICAL PHYSICS, 2013, 40 (11)
  • [36] Low-dose CT image restoration based on noise prior regression network
    Yan Jin
    Zhiwei Jiang
    Mengjia Huang
    Zhizhong Xue
    The Visual Computer, 2023, 39 : 459 - 471
  • [37] QUANTUM NOISE-REDUCTION OF LOW-DOSE IMAGE RECORDED ON IMAGING PLATE
    ISHIKAWA, A
    SUDA, H
    FUKAMI, A
    OIKAWA, T
    ARAI, Y
    JOURNAL OF ELECTRON MICROSCOPY, 1990, 39 (04): : 324 - 324
  • [38] Low-dose CT image restoration based on noise prior regression network
    Jin, Yan
    Jiang, Zhiwei
    Huang, Mengjia
    Xue, Zhizhong
    VISUAL COMPUTER, 2023, 39 (01): : 459 - 471
  • [39] Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging
    Amirrashedi, Mahsa
    Sarkar, Saeed
    Mamizadeh, Hojjat
    Ghadiri, Hossein
    Ghafarian, Pardis
    Zaidi, Habib
    Ay, Mohammad Reza
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2021, 94
  • [40] A RESOURCE-EFFICIENT DEEP LEARNING FRAMEWORK FOR LOW-DOSE BRAIN PET IMAGE RECONSTRUCTION AND ANALYSIS
    Fu, Yu
    Dong, Shunjie
    Liao, Yi
    Xue, Le
    Xu, Yuanfan
    Li, Feng
    Yang, Qianqian
    Yu, Tianbai
    Tian, Mei
    Zhuo, Cheng
    2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022), 2022,