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Real-time nonlinear finite element computations on GPU - application to neurosurgical simulation. (English) Zbl 1225.92021

Summary: Application of biomechanical modeling techniques in the area of medical image analysis and surgical simulation implies two conflicting requirements: accurate results and high solution speeds. Accurate results can be obtained only by using appropriate models and solution algorithms. In our previous papers we have presented algorithms and solution methods for performing accurate nonlinear finite element analysis of brain shift (which includes mixed mesh, different non-linear material models, finite deformations and brain – skull contacts) in less than a minute on a personal computer for models having up to 50,000 degrees of freedom. In this paper we present an implementation of our algorithms on a graphics processing unit (GPU) using the new NVIDIA Compute Unified Device Architecture (CUDA) which leads to more than 20 times increase in the computation speed. This makes possible the use of meshes with more elements, which better represent the geometry, are easier to generate, and provide more accurate results.

MSC:

92C50 Medical applications (general)
92C55 Biomedical imaging and signal processing
68U10 Computing methodologies for image processing
92C10 Biomechanics

Software:

CUDA; LS-DYNA
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Full Text: DOI Link

References:

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