Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (12): 221-228.doi: 10.11896/jsjkx.230300014

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Low-dose CT Reconstruction Algorithm Based on Iterative Asymmetric Blind Spot Network

GUO Guangxing1,2, YIN Guimei3, LIU Chenxu3, DUAN Yonghong2, QIANG Yan4, WANG Yanfei4, WANG Tao4   

  1. 1 School of Geography Science,Taiyuan Normal University,Jinzhong,Shanxi 030619,China
    2 School of Resources and Environment,Shanxi Agricultural University,Taigu,Shanxi 030801,China
    3 School of Computer,Taiyuan Normal University,Jinzhong,Shanxi 030619,China
    4 College of Information and Computer,Taiyuan University of Technology,Jinzhong,Shanxi 030600,China
  • Received:2023-03-01 Revised:2023-04-09 Online:2023-12-15 Published:2023-12-07
  • About author:GUO Guangxing,born in 1978,Ph.D,associate professor.His main research interests include big data image proces-sing and so on.
    QIANG Yan,born in 1969,Ph.D,is a member of China Computer Federation.His main research interests include intelligent information processing,image recognition and machine learning.
  • Supported by:
    National Natural Science Foundation of China(61872261).

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Abstract: Aiming at the problem that the method of low-dose CT reconstruction by machine learning method relies too much on pairwise legends,a low-dose CT reconstruction algorithm based on iterative asymmetric blind spot network is proposed.Firstly,low-dose CT is self-supervised by pixel-mixed washing sampling blind spot network,and the preliminarily reconstructed CT images are obtained.Secondly,an iterative model is established,and the result image obtained by the previous network is used as the low-dose input of the network for training to obtain the final network model.Finally,the asymmetric method is used to adjust the stride of the sampling under pixel mixing to minimize aliasing artifacts and obtain the final usable model.Theoretical analysis and experimental results show that compared with the traditional low-dose CT reconstruction algorithm,the iterative asymmetric blind spot network algorithm can greatly reduce the dependence of the low-dose CT reconstruction algorithm on pairwise legends,and can generate images similar to or even better than the traditional method in terms of image quality,texture features and structure.

Key words: Low dose, Deep learning, Reconstruction, Self-supervision

CLC Number: 

  • TP399
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