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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 Name2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)
Source PublicationProceedings - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
Pages193-200
Conference DateJune 26-28, 2023
Conference PlaceKyoto
CountryJapan
Author of SourceIEEE, IEEE Computer Society's Technical Community on the Internet (TCI), Kanazawa University
PublisherIEEE
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.

KeywordInteractive Hologram Digital Twin Hyperelasticity Model Of The Heart Finite Element Domain Decomposition Parallel Processing
DOI10.1109/MetaCom57706.2023.00046
Funding ProjectFintech 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 ID2-s2.0-85174572331
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Document TypeConference paper
CollectionDEPARTMENT OF MATHEMATICS
Faculty of Science and Technology
Corresponding AuthorLi Luo; Xiao-Chuan Cai
Affiliation1.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 AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity 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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