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A Hierarchical Structure for Representing 3D Respiration Organ Models

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Big Data Applications and Services 2017 (BIGDAS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 770))

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Abstract

In this paper , we propose a visualizing method that facilitates the 3D model representation using menu with level categories. With the implementation of the organs modeling method, the 3D internal respiratory tracts are incredibly separated into the various organs of both upper and lower regions based on function or anatomy. These regions are applied to the real color texture and materials by using the 3D creation tools . Moreover, the composed category level structuring of the object model is defined using the tree structure. Based on the tree structure, a TreeView technique for representing a navigation control that displays a hierarchical collection of labeled items is developed. It has functions such as expand and hide, drag and drop, and remove and replace. Using computational modeling and visualizing the respiratory system can enhance the understanding on how the 3D organs are categorized and performed with multiple anatomies of the human internal organs.

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Acknowledgments

This research was supported by the Ministry of Science and ICT (MSIT, Korea), under the Information Technology Research Center (ITRC) () support program (IITP-2017-2015-0-00448) supervised by the Institute for Information & Communications Technology Promotion (IITP) () and by the Technology Innovation Program (or Industrial Strategic Technology Development Program) (10065694, International Standardization of 3D Digital Human Modeling) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).

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Correspondence to Kwan-Hee Yoo .

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Manith, E., Park, C., Yoo, KH. (2019). A Hierarchical Structure for Representing 3D Respiration Organ Models. In: Lee, W., Leung, C. (eds) Big Data Applications and Services 2017. BIGDAS 2017. Advances in Intelligent Systems and Computing, vol 770. Springer, Singapore. https://doi.org/10.1007/978-981-13-0695-2_4

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