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Left Ventricle Segmentation Using Model Fitting and Active Surfaces.
Journal of Signal Processing Systems ( IF 1.6 ) Pub Date : 2009-04-01 , DOI: 10.1007/s11265-008-0219-1
Peter C Tay 1 , Bing Li , Chris D Garson , Scott T Acton , John A Hossack
Affiliation  

A method to perform 4D (3D over time) segmentation of the left ventricle of a mouse heart using a set of B mode cine slices acquired in vivo from a series of short axis scans is described. We incorporate previously suggested methods such as temporal propagation, the gradient vector flow active surface, superquadric models, etc. into our proposed 4D segmentation of the left ventricle. The contributions of this paper are incorporation of a novel despeckling method and the use of locally fitted superellipsoid models to provide a better initialization for the active surface segmentation algorithm. Average distances of the improved surface segmentation to a manually segmented surface throughout the entire cardiac cycle and cross-sectional contours are provided to demonstrate the improvements produced by the proposed 4D segmentation.

中文翻译:


使用模型拟合和活动表面进行左心室分割。



描述了一种使用从一系列短轴扫描体内获取的一组 B 模式电影切片对小鼠心脏左心室进行 4D(3D 随着时间的推移)分割的方法。我们将先前建议的方法(例如时间传播、梯度矢量流活动表面、超二次模型等)纳入我们提出的左心室 4D 分割中。本文的贡献在于结合了一种新颖的去斑方法和使用局部拟合超椭球模型,为主动表面分割算法提供更好的初始化。提供了整个心动周期中改进的表面分割到手动分割表面的平均距离和横截面轮廓,以证明所提出的 4D 分割所产生的改进。
更新日期:2019-11-01
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