Abstract
This paper presents an interactive web-based anatomy navigation system based on the high-resolution Chinese Visible Human (CVH) dataset. Compared with previous anatomy learning software, there are three new features in our navigation system. First, we directly exploit the capabilities of graphics hardware to achieve real-time computation of large medical dataset on the web. In addition, various visualization effects are supplied to enhance the visual perception of human model. Second, to facilitate user interaction, we design a set of user-friendly interface by incorporating the Microsoft Kinect into the system, and the users can navigate the Visible Human with their hand gestures. Third, in order to eliminate the unreliable bottleneck: network transmission, we employ a progressive strategy to transmit the data between the server and the client. Experimental results validate the advantages of the proposed navigation system for learning human anatomy, indicating its great potential in clinical applications.
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© 2014 Springer Science+Business Media Dordrecht
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Zhu, H. et al. (2014). An Interactive Web-Based Navigation System for Learning Human Anatomy. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_9
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DOI: https://doi.org/10.1007/978-94-007-7262-5_9
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