Abstract
To assist a network-based laparoscopic surgery simulation, we developed a remote and fused 3D transparent visualization method. Our method enables us to create precise 3D see-through images of internal human organs at multiple distant places simultaneously. Besides, the method supports flexible fused visualization of surface data and volume data. Traditional transparent visualization methods require the time-consuming depth sort of rendering primitives. Therefore, it has been difficult to execute quick and precise fused visualization, which must treat both polygon data for surfaces and voxel data for volumes at one time. Our fused visualization is realized by applying the stochastic point based rendering that we recently proposed. We applied this rendering technique to remote fused visualization of surgery simulation, combining the technique with network-based distributed computing of visualization.
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Acknowledgments
This research was supported in part by the MEXT-supported program for the strategic research foundation at private universities (2013-2017), and in part by JSPS KAKENHI Grant Numbers 25280044, and in part by the R-GIRO research fund from Ritsumeikan University.
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Xu, R., Sugiyama, A., Hasegawa, K., Tagawa, K., Tanaka, S., Tanaka, H.T. (2016). Remote Transparent Visualization of Surface-Volume Fused Data to Support Network-Based Laparoscopic Surgery Simulation. In: Chen, YW., Torro, C., Tanaka, S., Howlett, R., C. Jain, L. (eds) Innovation in Medicine and Healthcare 2015. Smart Innovation, Systems and Technologies, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-23024-5_31
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DOI: https://doi.org/10.1007/978-3-319-23024-5_31
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