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A Collaborative Telemedicine Platform Focusing on Paranasal Sinus Segmentation

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Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-18 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 98))

Abstract

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.

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Authors and Affiliations

  1. College of Software Engineering, Northeastern University, Shenyang, China

    Yinuo Li, Yonghua Li, Zhuofu Deng & Zhiliang Zhu

Authors
  1. Yinuo Li
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  2. Yonghua Li
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  3. Zhuofu Deng
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  4. Zhiliang Zhu
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Corresponding author

Correspondence to Yinuo Li .

Editor information

Editors and Affiliations

  1. Istituto Di Calcolo E Reti Ad Alte Prestazioni (Icar), National Research Council, Roma, Italy

    Giuseppe De Pietro

  2. Istituto Di Calcolo E Reti Ad Alte Prestazioni (Icar), National Research Council, Roma, Italy

    Luigi Gallo

  3. Bournemouth University, Poole, United Kingdom

    Robert J. Howlett

  4. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia

    Lakhmi C. Jain

  5. Griffith Sciences - Centres and Institutes, Griffith University, South Brisbane, Queensland, Australia

    Ljubo Vlacic

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Li, Y., Li, Y., Deng, Z., Zhu, Z. (2019). A Collaborative Telemedicine Platform Focusing on Paranasal Sinus Segmentation. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L., Vlacic, L. (eds) Intelligent Interactive Multimedia Systems and Services. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-92231-7_25

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