Since no mesh is required in meshfree methods, theĬomplexity related to meshing in finite element method is avoided. The material properties are defined at pixel points and are directly used as input The fiber direction obtained fromĭiffusion Tensor Imaging (DTI) data ( Bihan, et al., Modeling technique based on a Reproducing Kernel Particle Method (RKPM) ( Liu, et al., 1995 Chen, et al., 1996). In this work, we develop an image based meshfree Theįiber directions obtained in this way could generate noticeable discretizationĮrrors in the simulation models. In FE modeling, one way to introduce the anisotropy is toĪpproximate the fiber directions by interpolating from some pre-defined templates asĭescribed in ( Blemker & Delp, 2005). Additionally, muscle material is anisotropic in nature due to the Topology in the muscle cross sections could also result in failure in FE mesh Lead to significant errors in FE analysis due to mesh distortion. Generally muscles have a complex architecture and poorly built meshes can easily In the conventional Finite Element (FE) approach, the meshes need to beĬonformed to muscle geometry, which increases the complexity of mesh construction.
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