A Collaborative Telemedicine Platform Focusing on Paranasal Sinus Segmentation

  • Yinuo LiEmail author
  • Yonghua Li
  • Zhuofu Deng
  • Zhiliang Zhu
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 98)


Telemedicine is an important diagnostic auxiliary tool. This field has recently begun a period of explosive growth. In this paper, we combine mobile devices and image processing algorithms to develop a real-time collaborative image processing telemedicine platform for mobile devices. This C/S mode platform is based on C++, which is mainly implemented by VTK and ITK. In addition to implementing image transmission, 3D visualization and remote rendering, we focus on paranasal sinus CT and adopt automatic medical image segmentation function using the DRLSE algorithm. Besides, collaboration function ensures that users can process images in real time using mobile devices, which benefits communication between medical experts. Through testing, the platform is proved to be able to maintain stable bandwidth demand even in crowded network. According to the current research, this is the first platform to combine paranasal sinus CT image analysis with telemedicine. Therefore, our platform outperforms conventional teleradiology platform in functional completeness. Our platform helps radiologists and medical specialists to make correct diagnoses.


Telemedicine Collaboration Paranasal sinus CT Image segmentation 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Yinuo Li
    • 1
    Email author
  • Yonghua Li
    • 1
  • Zhuofu Deng
    • 1
  • Zhiliang Zhu
    • 1
  1. 1.College of Software EngineeringNortheastern UniversityShenyangChina

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