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2019 | OriginalPaper | Chapter

A Collaborative Telemedicine Platform Focusing on Paranasal Sinus Segmentation

Authors : Yinuo Li, Yonghua Li, Zhuofu Deng, Zhiliang Zhu

Published in: Intelligent Interactive Multimedia Systems and Services

Publisher: Springer International Publishing

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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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Metadata
Title
A Collaborative Telemedicine Platform Focusing on Paranasal Sinus Segmentation
Authors
Yinuo Li
Yonghua Li
Zhuofu Deng
Zhiliang Zhu
Copyright Year
2019
Book
Intelligent Interactive Multimedia Systems and Services

Print ISBN: 978-3-319-92230-0

Electronic ISBN: 978-3-319-92231-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-92231-7_25

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