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|a 10.1109/TVCG.2021.3106478
|2 doi
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|a eng
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1 |
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|a Li, Shuai
|e verfasserin
|4 aut
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|a Design and Evaluation of Personalized Percutaneous Coronary Intervention Surgery Simulation System
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|c 2021
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|a ƒaComputermedien
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|a Date Completed 13.01.2022
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|a Date Revised 13.01.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a In recent years, medical simulators have been widely applied to a broad range of surgery training tasks. However, most of the existing surgery simulators can only provide limited immersive environments with a few pre-processed organ models, while ignoring the instant modeling of various personalized clinical cases, which brings substantive differences between training experiences and real surgery situations. To this end, we present a virtual reality (VR) based surgery simulation system for personalized percutaneous coronary intervention (PCI). The simulation system can directly take patient-specific clinical data as input and generate virtual 3D intervention scenarios. Specially, we introduce a fiber-based patient-specific cardiac dynamic model to simulate the nonlinear deformation among the multiple layers of the cardiac structure, which can well respect and correlate the atriums, ventricles and vessels, and thus gives rise to more effective visualization and interaction. Meanwhile, we design a tracking and haptic feedback hardware, which can enable users to manipulate physical intervention instruments and interact with virtual scenarios. We conduct quantitative analysis on deformation precision and modeling efficiency, and evaluate the simulation system based on the user studies from 16 cardiologists and 20 intervention trainees, comparing it to traditional desktop intervention simulators. The results confirm that our simulation system can provide a better user experience, and is a suitable platform for PCI surgery training and rehearsal
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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700 |
1 |
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|a Cui, Jiahao
|e verfasserin
|4 aut
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1 |
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|a Hao, Aimin
|e verfasserin
|4 aut
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700 |
1 |
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|a Zhang, Shuyang
|e verfasserin
|4 aut
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700 |
1 |
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|a Zhao, Qinping
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
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|g 27(2021), 11 vom: 15. Nov., Seite 4150-4160
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|g day:15
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|u http://dx.doi.org/10.1109/TVCG.2021.3106478
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