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