Journal of Optoelectronics · Laser, Volume. 34, Issue 7, 771(2023)

Research on denoising method of two-stage SPECT bone imaging based on U-Net

YU Hong1、*, LUO Renze1, CHEN Chunmeng2, GUO Liang3, and LUO Renquan1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less
    References(21)

    [1] [1] FENG J X,JIANG J.Deep learning-based chest CT image features in diagnosis of lung cancer[J].Computational and Mathematical Methods in Medicine, 2022,2022:1-7.

    [2] [2] RONG Y,REN H,DING X J.MRI and bone scintigraphy for breast cancer bone metastase:A meta-analysis[J].Open Medicine,2019,14(1):317-323.

    [3] [3] MADSEN M T.Recent advances in SPECT imaging[J].Journal of Nuclear Medicine,2007,48(4):661-673.

    [4] [4] CHO S G,KIM J,SONG H C.Radiation safety in nuclear medicine procedures[J].Nuclear Medicine and Molecular Imaging,2017,51(1):11-16.

    [5] [5] COORAY S,TAKEUCHI T T,AKAHDRI T,et al.An iterative reconstruction algorithm for Faraday tomography[J].Monthly Notices of the Royal Astronomical Society,2020,500(4):5129-5141.

    [6] [6] HE X Y,ZHANG A Q,ZHAO S M.Quantum iocality preserving projection algorithm[J].Quantum Information Processing,2022,21(3):1-22.

    [7] [7] ZHENG W F,YANG B,XIAO Y,et al.Low-dose CT image post-processing based on learn-type sparse transform[J].Sensors,2022,22(8):1-17.

    [8] [8] ZHANG Y K,ZHANG J Y,LU H B.Statistical sinogram smoothing for low-dose CT with segmentation-based adaptive filtering[J].IEEE Transactions on Nuclear Science,2010,57(5):2587-2598.

    [9] [9] GUI Z G,LIU Y.Noise reduction for low-dose X-ray computed tomography with fuzzy filter[J].Optik,2012,123(13):1207-1211.

    [10] [10] YU L F,MANDUCA A,TRZASKO J D,et al.Sinogram smoothing with bilateral filtering for low-dose CT[C]//Proceedings of SPIE,Medical Imaging 2008:Physics of Medical Imaging,February 16-21,2008,Bellingham,Washington,USA:SPIE,2008,6913:1-8.

    [11] [11] ZHANG R Q,DONG H Y,PAL D,et al.A Gaussian mixture MRF for model-based iterative reconstruction with applications to low-dose X-ray CT[J].IEEE Transactions on Computational Imaging,2016,2(3):359-374.

    [12] [12] CHEN H,ZHANG Y,ZHANG W H,et al.Low-dose CT via convolutional neural network[J].Biomedical Optics Express,2017,8(2):679-694.

    [13] [13] KANG E,MIN J,YE J C.A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction[J].Medical Physics,2017,44(10):360-375.

    [14] [14] RONNEBERGER O,FISCHER P,BROX T.U-Net:Convolutional networks for biomedical image segmentation[M]//Lecture Noets in Computer Science.Cham:Springer International Publishing,2015:234-241.

    [15] [15] CHEN H,ZHANG Y,KALRA M K,et al.Low-dose CT with a residual encoder-decoder convolutional neural network[J].IEEE Transactions on Medical Imaging,2017,36(12):2524-2535.

    [16] [16] YANG Q S,YAN P K,ZHANG Y B,et al.Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss[J].IEEE Transactions on Medical Imaging,2018,37(6):1348-1357.

    [17] [17] KEISUKE U,KOICHI O,MASAMI G,et al.Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography[J].Visual Computing for Industry,Biomedicine,and Art,2021,4(1):21-26.

    [18] [18] WEN J H,LI Y C,WANG W.Wavelet-based denoising and its impact on analytical SPECT reconstruction with nonuniform attenuation compensation[J].International Journal of Imaging Systems and Technology,2013,23(1):36-43.

    [19] [19] HOU Q,ZHOU D,FENG J.Coordinate attention for efficient mobile network design[C]//2021 IEEE CVF Conference on Computer Vision and Pattern Recognition (CVPR),June 20-25,2021,Nashville,TN,USA.New York:IEEE,2021:13708-13717.

    [21] [21] HANG Z,GALLO O,FROSIO I,et al.Loss functions for image restoration with neural networks[J].IEEE Transactions on Computational Imaging,2017,3(1):47-57.

    [22] [22] HUAN E Y,WEN G H.Transfer learning with deep convolutional neural network for constitution classification with face image[J].Multimedia Tools and Applications,2020,79(17-18):11905-11919.

    Tools

    Get Citation

    Copy Citation Text

    YU Hong, LUO Renze, CHEN Chunmeng, GUO Liang, LUO Renquan. Research on denoising method of two-stage SPECT bone imaging based on U-Net[J]. Journal of Optoelectronics · Laser, 2023, 34(7): 771

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: May. 12, 2022

    Accepted: --

    Published Online: Sep. 25, 2024

    The Author Email: YU Hong (790622472@qq.com)

    DOI:10.16136/j.joel.2023.07.0346

    Topics