Magnetic resonance image segmentation and heart motion tracking with an active mesh based system

L. Legrand, C. Bordier, A. Lalande, P. Walker, F. Brunotte, C. Quantin
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引用次数: 3

Abstract

The work presented here relates to a method for motion tracking in sequences of medical images. The purpose is to quantify the general motions and the local deformations of a beating heart during a cardiac cycle. In order to achieve this goal, we first tessellate the first image of the sequence into triangular patches. A Delaunay triangulation is applied to find the optimal set of triangles describing this image, giving a mesh covering the organs. One imposes the contours of the organs to correspond to edges of triangles so that each part of the heart (left ventricle, right ventricle, myocardium) can he described as a different set of triangles, each set indicated by a different color. We then track the nodes of the mesh on the image sequence while imposing them to remain on the edges of the different parts of the heart.
基于有源网格的核磁共振图像分割与心脏运动跟踪
这里提出的工作涉及一种方法运动跟踪序列的医学图像。目的是量化在心脏周期中跳动的心脏的一般运动和局部变形。为了实现这一目标,我们首先将序列的第一张图像镶嵌成三角形块。应用Delaunay三角剖分来找到描述该图像的最优三角形集,给出覆盖器官的网格。一种方法是将器官的轮廓与三角形的边缘相对应,这样心脏的每个部分(左心室、右心室、心肌)就可以被描述为一组不同的三角形,每一组用不同的颜色表示。然后我们在图像序列上跟踪网格的节点,同时将它们保留在心脏不同部位的边缘上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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