Left Ventricle Wall Motion Estimation in Echocardiographic Images

机译：超声心动图图像中左心室壁运动估计

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The aim of this paper is to estimate motion of the left ventricle in echocardiographic image sequences of normal heart. Cardiac wall kinetic analysis requires two steps: (i) detection of the left ventricle boundaries in the image sequence, (ii) myocardial wall motion estimation. We have used the Level Set method to segment the left ventricle boundaries in 2D ultrasound images. This method implicitly represents the evolving contour by embedding it as the zero level of a hyper surface. The optical flow-based algorithm has been applied to estimate the left ventricle wall motion. The optical flow at time t and location P(x,y,t) is defined as the velocity of the image point. We propose in this paper a method for analyzing the wall motion cardiac. It consists of analyzing the temporal trajectory evolution for each pixel. So, by computing the velocity using the optical flow method, the trajectory of each pixel is tracking. The Hermite curves are used for plotting these trajectories. Thus, the assessment of the left ventricular contraction is then determined by observing the variation time curves of each pixel during a cardiac cycle. In order to carry out the wall motion analysis, the left ventricle was divided up in a simple way into seven segments. Such division is generated from three points positioned by the clinician.

机译：本文的目的是估计正常心脏的超声心动图图像序列中左心室的运动。心脏壁动力学分析需要两个步骤：（i）检测图像序列中的左心室边界，（ii）心肌壁运动估计。我们已经使用了“水平集”方法来分割2D超声图像中的左心室边界。该方法通过将演变轮廓嵌入为超曲面的零级来隐式表示它。基于光流的算法已被应用于估计左心室壁运动。将在时间t和位置P（x，y，t）的光流定义为像点的速度。我们在本文中提出了一种分析心脏壁运动的方法。它包括分析每个像素的时间轨迹演变。因此，通过使用光流方法计算速度，可以跟踪每个像素的轨迹。 Hermite曲线用于绘制这些轨迹。因此，然后通过观察心动周期中每个像素的变化时间曲线来确定对左心室收缩的评估。为了进行壁运动分析，以简单的方式将左心室分为七个部分。这种划分是由临床医生确定的三个点生成的。

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《Proceedings of the 2010 summer simulation multiconference book 1: Summer computer simulation conference 2010》|2010年|p.576-580|共5页
会议地点 Ottawa(CA);Ottawa(CA);Ottawa(CA)
作者
Nadia Souag; Saliha Tamrent; Mohamed Mokhtar Djebbour; Abdelaziz Dahmani;
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作者单位

Images Processing Laboratory, Faculty of Electronics and Computing,U.S.T.H.B, BP 32, El-Alia, Bab-Ezzouar, 16111 Algiers, Algeria;

Images Processing Laboratory, Faculty of Electronics and Computing,U.S.T.H.B, BP 32, El-Alia, Bab-Ezzouar, 16111 Algiers, Algeria;

Images Processing Laboratory, Faculty of Electronics and Computing,U.S.T.H.B, BP 32, El-Alia, Bab-Ezzouar, 16111 Algiers, Algeria;

Images Processing Laboratory, Faculty of Electronics and Computing,U.S.T.H.B, BP 32, El-Alia, Bab-Ezzouar, 16111 Algiers, Algeria;

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原文格式 PDF
正文语种 eng
中图分类自动模拟理论（自动仿真理论）;
关键词
echocardiography; left ventricle segmentation; wall motion estimation; motion analysis; level set approach; optical flow;

机译：超声心动图左心室分割；壁运动估计；运动分析；水平集方法；光流;

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1. Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration [J] . Ahmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, International Journal of Computer Assisted Radiology and Surgery . 2012,第5期

机译：通过非刚性图像配准从超声心动图图像量化左心室壁运动
2. Integration of Multi-Plane Tissue Doppler and B-Mode Echocardiographic Images for Left Ventricular Motion Estimation [J] . Porras A.R., Alessandrini M., Mirea O., Medical Imaging, IEEE Transactions on . 2016,第1期

机译：集成多平面组织多普勒和B型超声心动图图像用于左心室运动估计
3. Abnormal Motion of Left Ventricular Posterior Wall and Aortic Root Posterior Wall in Patients with Left Ventricular Hypertrophy: An Echocardiographic Study [J] . Seo Se Woong, Kim Sung Gu, Kwon Young Joo Korean Circulation Journal . 1986,第4期

机译：左心室肥厚患者左心室后壁和主动脉根后壁异常运动的超声心动图研究
4. Left Ventricle Wall Motion Estimation in Echocardiographic Images [C] . Nadia Souag, Saliha Tamrent, Mohamed Mokhtar Djebbour, Simulation Multiconference . 2010

机译：超声心动图图像中的左心室壁运动估计
5. Modeling left ventricle wall motion using tagged magnetic resonance imaging [D] . Alenezy, Mohammed D. 2009

机译：使用标记的磁共振成像模拟左心室壁运动
6. Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images [O] . Xiaofeng Liu, Khaled Z. Abd-Elmoniem, Jerry L. Prince -1

机译：使用标记的MR图像的左心室不可压缩的心脏运动估计
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Left Ventricle Wall Motion Estimation in Echocardiographic Images

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