Abstract
In this work a pancreatic surgery simulator is developed that provides the user with haptic feedback. The simulator is based on the use of model order reduction techniques, particularly Proper Generalized Decomposition methods. The just developed simulator presents some notable advancements with respect to existing works in the literature, such as the consideration of non-linear hyperelasticity for the constitutive modeling of soft tissues, an accurate description of contact between organs and momentum and energy conserving time integration schemes. Pancreas, liver, gall bladder, and duodenum are modeled in the simulator, thus providing with a very realistic and immersive perception to the user.
Highlights
It is well known and scientifically demonstrated that the use of surgery simulators provides the practitioner with a fast method to developed the necessary skills [1]
All these limitations make the development of surgery simulators a delicate task that has faced important difficulties in the last decades. It has not been until very recently that truly non-linear constitutive models have been developed [4,5,6]. They are based on the employ of explicit finite element simulations, that allow for a fast resolution, element by element, of the equations of motion
A review of Proper Generalized Decomposition (PGD) methods applied to real-time surgery As mentioned before, the main novelty in PGD-based real-time simulators consist in developing a sort of a priori response surface, what we called a computational vademecum in [17]
Summary
It is well known and scientifically demonstrated that the use of surgery simulators provides the practitioner with a fast method to developed the necessary skills [1]. This work is aimed at developing a prototype of real-time simulator for pancreatic surgery (very few examples exist, see [18]), able of providing an immersive response for surgery training and planning.
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More From: Advanced Modeling and Simulation in Engineering Sciences
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