首页> 外文会议>Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics >A local geometric preserving approach for interior deformation fields measurement from MR volumetric images of human tissues
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A local geometric preserving approach for interior deformation fields measurement from MR volumetric images of human tissues

机译:从人体组织的MR体积图像测量内部变形场的局部几何保留方法

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While a variety of different features matching algorithms have been reported in rigid areas, few features matching algorithm used in non-rigid area have been reported. This work is concerned about interior deformation fields measurement of non-rigid, non-uniform human tissue or organs from 3D magnetic resonance volumetric images. In this paper, a local geometric preserving approach was proposed to find homologous features from a given features in MR volume obtained at the initial state. Three dimension invariant moment and geometric preserving property of a local 3D region have been used to design the function which was used to measure the strength of match of the candidate feature pair. Interior density deformation fields is then inferred to use a linear approximate approach in an irregular tetrahedra finite element model. To test the validity of the proposed approach, it is applied to actual MR volumetric images obtained from a volunteer's finger. The primary result is consistent with the fact.
机译:虽然在刚性区域中已经报道了各种不同的特征匹配算法,但在非刚性区域中却很少使用特征匹配算法。这项工作涉及从3D磁共振体像中测量非刚性,不均匀的人体组织或器官的内部变形场。在本文中,提出了一种局部几何保留方法,以从在初始状态下获得的MR体积中的给定特征中找到同源特征。已使用局部3D区域的三维不变矩和几何保留属性来设计该函数,该函数用于测量候选特征对的匹配强度。然后推断内部密度变形场在不规则四面体有限元模型中使用线性近似方法。为了测试所提出方法的有效性,将其应用于从志愿者手指获得的实际MR体积图像。主要结果与事实是一致的。

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