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A Fuzzy Logic Based Virtual Surgery System
| Title: | A Fuzzy Logic Based Virtual Surgery System |
| Author: | Kutuva, Shanthanand R |
| Description: | Virtual Reality (VR) and associated technologies are experiencing growing importance in medicine and surgery. Virtual surgery simulation can help surgeons to explore optimal surgical operations, thus reducing risks in the real surgery. It helps doctors to train medical students in a cost effective manner. Virtual surgery simulation demands fast and real time performance. The finite element method has been used for surgery simulations; however, finite element method is computationally intensive and is unsuitable for real time simulation of cutting large amount of tissue in arbitrary paths. We have developed a fuzzy logic based system which involves significantly reduced computational time and provides real time simulation of soft tissue cutting in any desired paths. The user-exerted forces on a simulated cutting tool held by the user are dynamically measured and fed to the fuzzy logic system. The user-exerted forces and the stiffness of the element are first fuzzified and fed to a fuzzy rule base to provide the output membership values. These output membership values are then defuzzified using the centroid defuzzification technique to provide a crisp output of the cutting depth. The computed cutting depth is then sent to the visualization module, which provides realistic rendering of surgical tools, surgery objects, and their interactions to the surgeons in a 3D virtual environment. It animates the entire surgical process in the virtual environment and allows surgeons to view the surgical simulation in any vantage point. To realistically render the soft tissue during a virtual surgery process, his study also explores a novel method to take care of structural and textural changes in the soft tissue by splitting and cloning internal mesh nodes. A virtual surgery system, completed with its five subsystems, has been designed and implemented. A multi threaded approach has been used to implement the system. This isolates the data acquisition system from the simulation system so that both modules can be synchronized without any speed penalty. This also makes the system more responsive to user interactions. Experiments with the system have shown that the fuzzy logic based virtual surgery system is capable of simulating soft tissue cutting along any desired path in real time. Further work is under way to measure the accuracy of the system. It has also been proposed to port the system to a distributed environment so that virtual surgical operations can be broadcasted to the internet. |
| Permanent Link: |
http://rave.ohiolink.edu/etdc/view?acc_num=akron1153967254
http://hdl.handle.net/2374.OX/3998 |
| Date: | 2006 |
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