三维超声心动图预处理的心室容积估计

F. Brancaleoni, K. Mikula, A. Sarti, C. Lamberti
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引用次数: 1

摘要

提出了一种基于三维超声数据的左心室容积估计方法。三维数据的预处理采用了两种不同的非线性扩散技术:各向异性扩散和几何扩散(平均曲率运动)。各向异性扩散在亮度梯度较低的区域具有较高的扩散速度,在亮度梯度较低的区域具有较高的扩散速度,而在亮度梯度较低的区域具有较高的扩散速度。相反,几何扩散,假设扩散速度根据局部曲率,产生光滑的表面。通过填充运算和散度定理估计心室容积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D echocardiography pre-processing for ventricular volume estimation
A method for left ventricular volume estimation based on 3D echographic data is presented. Pre-processing of 3D data is performed by means of two different nonlinear diffusion techniques: anisotropic diffusion and geometrical diffusion (mean curvature motion). Anisotropic diffusion, which assumes a high diffusion velocity in region with low brightness gradient and vice-versa, produces a filtering effect without smoothing the edges. On the contrary, geometrical diffusion, which assumes a diffusion velocity according to local curvature, produces a smoothing of surfaces. The ventricular volume is estimated through a floodfill operation and divergence theorem.
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