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Modeling for haptics-based surgical ...
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Zheng, Weiyu.
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Modeling for haptics-based surgical simulation.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Modeling for haptics-based surgical simulation./
作者:
Zheng, Weiyu.
面頁冊數:
96 p.
附註:
Source: Masters Abstracts International, Volume: 45-01, page: 0469.
Contained By:
Masters Abstracts International45-01.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR16471
ISBN:
9780494164716
Modeling for haptics-based surgical simulation.
Zheng, Weiyu.
Modeling for haptics-based surgical simulation.
- 96 p.
Source: Masters Abstracts International, Volume: 45-01, page: 0469.
Thesis (M.A.Sc.)--Carleton University (Canada), 2006.
With advances in robotics, computer graphics, and modelling technologies, the Virtual reality and Haptics based Surgery Simulator is rapidly emerging and increasingly perceived as a valuable addition to, or replacement of, traditional training methods.
ISBN: 9780494164716Subjects--Topical Terms:
626642
Computer Science.
Modeling for haptics-based surgical simulation.
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With advances in robotics, computer graphics, and modelling technologies, the Virtual reality and Haptics based Surgery Simulator is rapidly emerging and increasingly perceived as a valuable addition to, or replacement of, traditional training methods.
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Cutting is an important part of a surgical procedure. In order to render immediately visual feedback when the cut proceeds, we use a progressive cutting method. A temporary particle is created to track the position of the haptic device in the virtual environment.
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Simulating soft tissues is a significant part of surgical simulation. The mass spring system is applied to model the soft tissue. Based on two criteria - computation efficiency and precision - this thesis analyzes three different integration algorithms and employs the Leapfrog Verlet method. Solving differential equations for each particle requires expensive computation. This thesis proposes to limit the computation within a "zone of influence".
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This thesis also proposes a haptic force model to represent the force feedback to the user. The model includes a back-propagated neural network algorithm and a white-Gaussian noise model. We divide the cutting force into three parts: the indenting force, which is simulated by a back-propagated algorithm; the organ force, which is represents by a spring model; and other forces, which is described by a white-Gaussian noise model.
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