Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 148-152.doi: 10.11896/JsJkx.190700046

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Application of Deep Learning in Photoacoustic Imaging

SUN Zheng and WANG Xin-yu   

  1. Department of Electronic and Communication Engineering,North China Electric Power University,Baoding,Hebei 071003,China
  • Published:2020-07-07
  • About author:SUN Zheng, born in 1977, Ph.D, professor.Her main research interests include biomedical imaging and signal proces-sing.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61372042) and Fundamental Research Funds for the Central Universities of Ministry of Education of China (2014AD31).

Abstract: Photoacoustic imaging (PAI) is a multi-physics coupled non-invasive biomedical functional imaging technology.It combines the high contrast of pure optical imaging with the high spatial resolution of ultrasonic imaging,and can obtain the morpho-logy and functional components information of target tissues at the same time.In recent years,deep learning (DL) has been widely applied in medical image processing.The PAI imaging algorithms based on DL have attracted more and more attention of researchers.This paper reviewed the current application of DL in PAI image reconstruction,summarized the existing algorithms,analyzed their limits and forecasted the possible improvements in the future.

Key words: Photoacoustic imaging, Deep learning, Convolutional neural network, Image reconstruction, Limited-angle scanning

CLC Number: 

  • TP391.4
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