Residential College | false |
Status | 已發表Published |
An Interactive Platform for a High Performance Digital Twin of a Human Heart | |
Yujie Gong1; Fenfen Qi1; Yingzhi Liu1; Jing-Yuan Wang1; Tianhao Ma1; Zaiheng Cheng1; Yi Jiang1; Rongliang Chen2; Xinhong Wang2; Li Luo1; Xiao-Chuan Cai1 | |
2023-06 | |
Conference Name | 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom) |
Source Publication | Proceedings - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023 |
Pages | 193-200 |
Conference Date | June 26-28, 2023 |
Conference Place | Kyoto |
Country | Japan |
Author of Source | IEEE, IEEE Computer Society's Technical Community on the Internet (TCI), Kanazawa University |
Publisher | IEEE |
Abstract | In this paper, we present an interactive platform for visualizing and manipulating the digital twin of a human heart reconstructed from computed tomography (CT). The platform involves a pair of holographical glasses whose cameras are used to input the control parameters by hand gestures, a highend graphical workstation acting as the platform manager to render the data and control the computations, and a high performance computer cluster which is the workhorse for heavy computations required by the physics-based model of the heart. The numerical model of the heart is referred to as the digital twin of the biological heart, and using the proposed platform we can see and operate on certain part of the heart that is difficult to reach in the biological heart. Such a platform can be used as an off-line tool for surgical planning or as a near real-time tool during the operation. The main focuses of the paper are algorithms and software for manipulating the threedimensional elastic object through the holographic glasses using hand gestures, the control of the surface geometry, and the near real time computation of the motion and displacement of the elastic body on a parallel computer. The deformation of the heart is modeled by a hyperelasticity equation solved on a supercomputer so that physically meaningful motion is obtained in near real time. Preliminary results are reported for the heart of an actual patient. |
Keyword | Interactive Hologram Digital Twin Hyperelasticity Model Of The Heart Finite Element Domain Decomposition Parallel Processing |
DOI | 10.1109/MetaCom57706.2023.00046 |
Funding Project | Fintech Finance– Breakthroughs for or Traps of Sources of Financing ; Highly parallel preconditioned inexact Newton methods for nonlinear system of equations |
Language | 英語English |
Scopus ID | 2-s2.0-85174572331 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF MATHEMATICS Faculty of Science and Technology |
Corresponding Author | Li Luo; Xiao-Chuan Cai |
Affiliation | 1.Department of Mathematics, University of Macau 2.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences 3.The Second Affiliated Hospital Zhejiang University School of Medicine |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Yujie Gong,Fenfen Qi,Yingzhi Liu,et al. An Interactive Platform for a High Performance Digital Twin of a Human Heart[C]. IEEE, IEEE Computer Society's Technical Community on the Internet (TCI), Kanazawa University:IEEE, 2023, 193-200. |
APA | Yujie Gong., Fenfen Qi., Yingzhi Liu., Jing-Yuan Wang., Tianhao Ma., Zaiheng Cheng., Yi Jiang., Rongliang Chen., Xinhong Wang., Li Luo., & Xiao-Chuan Cai (2023). An Interactive Platform for a High Performance Digital Twin of a Human Heart. Proceedings - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023, 193-200. |
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