Fine-Tuning of Mass-Spring Model Properties for Simulating Realistic Soft Body Deformation

Date of Award

Summer 2005

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computational Modeling & Simulation Engineering

Program/Concentration

Modeling and Simulation

Committee Director

Frederic D. mcKenzie

Committee Member

Bowen Loftin

Committee Member

Lee A. Belfore, II

Call Number for Print

Special Collections LD4331.E53 G57 2005

Abstract

Obtaining a well behaved soft-tissue model is one of the most challenging and important tasks in the development of surgical simulation systems. Achieving both accurate and real-time deformation response from a soft-tissue model becomes more difficult as the complexity of the represented anatomy and the degree of deformation increases. One common approach to modeling deformable objects is the Mass-Spring (MS) system method. Mass-Spring systems are attractive to real-time applications due to their relatively low computational requirement and ease of implementation. However, their parameter determination is typically done manually, which becomes tedious when accurate approximation to real-world objects is desired. This thesis will focus on making MS model tuning a less tedious procedure by developing a tool that allows its users to explore the effects on the deformation behavior by altering various parameters. Providing the geometry information of the soft object together with its mass and coefficient of stiffness, the users of this toolkit will be presented with a virtual deformable model. This model can be interacted with through a haptic device. A number of parameters, for which the program provides default values, can then be adjusted during a testing session. These include the spring stiffness constants, damping factor, percentage of deformation, and time-step for numerical integration. The users can test the behavior of the new setup any time a parameter is changed. After each test the average frame rate is displayed. When the model behavior and the frame rate achieved are satisfactory, the configuration can be saved into a text file and returned to for later comparison by retrieving/loading the settings from this file. The users of this tool will benefit by being able to minimize the time of MS model tuning, which is a necessary task when accuracy is critical.

Rights

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DOI

10.25777/kkr3-t997

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