Pixel-based meshfree modelling of skeletal muscles.
Pixel-based meshfree modelling of skeletal muscles.
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基于像素基的骨骼肌的无网格建模。
DOI：
10.1080/21681163.2015.1049712
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Sinha S
中科院分区：
文献类型：
--
作者：
Chen JS;Basava RR;Zhang Y;Csapo R;Malis V;Sinha U;Hodgson J;Sinha S
本文介绍了用于基于 3D 图像的骨骼肌建模的无网格再现核粒子方法 (RKPM)。这种方法允许基于从医学图像获得的像素数据构建模拟模型。在每个像素点输入从扩散张量成像（DTI）获得的材料属性和肌纤维方向。再生核（RK）近似允许以平滑过渡来表示材料异质性。采用基于多相多通道水平集的分割框架，使用磁共振图像（MRI）和 DTI 进行个体肌肉分割。演示了所提出的人体小腿建模方法的应用。
This paper introduces the meshfree Reproducing Kernel Particle Method (RKPM) for 3D image-based modeling of skeletal muscles. This approach allows for construction of simulation model based on pixel data obtained from medical images. The material properties and muscle fiber direction obtained from Diffusion Tensor Imaging (DTI) are input at each pixel point. The reproducing kernel (RK) approximation allows a representation of material heterogeneity with smooth transition. A multiphase multichannel level set based segmentation framework is adopted for individual muscle segmentation using Magnetic Resonance Images (MRI) and DTI. The application of the proposed methods for modeling the human lower leg is demonstrated.