Robust contour tracking in echocardiographic sequences

G. Jacob, J. Noble, A. Blake
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引用次数: 32

Abstract

In this paper we present an evaluation of a robust visual image tracker on echocardiographic image sequences. We show how the tracking framework can be customised to define an appropriate shape-space that describes heart shape deformations that can be learnt from a training data set. We also investigate an energy-based temporal boundary enhancement method to improve image feature measurement. Preliminary results are presented demonstrating tracking on real normal heart motion data sequences and synthesised and real abnormal heart motion data sequences. We conclude by discussing some of our current research efforts.
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超声心动图序列的鲁棒轮廓跟踪
在本文中,我们提出了一个鲁棒视觉图像跟踪器的超声心动图图像序列的评估。我们展示了如何定制跟踪框架来定义一个适当的形状空间,该形状空间描述了可以从训练数据集中学习的心形变形。我们还研究了一种基于能量的时间边界增强方法来改进图像特征测量。给出了对真实正常心脏运动数据序列以及合成和真实异常心脏运动数据序列进行跟踪的初步结果。最后,我们将讨论一些我们目前的研究工作。
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