基于特征点跟踪的小肠运动功能自动评估

K. Otsuki, A. Furukawa, S. Kanasaki, Y. Iwamoto, T. Tateyama, Yenwei Chen
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引用次数: 1

摘要

在本文中,我们提出了一种基于自动特征点跟踪的基于Cine-MRI的小肠收缩运动自动评估方法。该方法包括两个步骤。首先,在初始框架中,用户在小肠边界上任意选择两个点。两点之间的距离代表小碗的大小。其次,在时间序列图像中使用Kanade-Lucas-Tomasi (KLT)跟踪方法自动跟踪两个点。通过跟踪这两点,可以自动分析小肠的收缩运动。与传统的基于小肠分割的方法相比,KLT-tracker方法可以让我们更快地分析小肠收缩运动,建立更客观的分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Assessment of Small Bowel Motility Function Based on Feature Points Tracking
In this paper, we propose an automated method for assessing small bowel contraction movement with Cine-MRI based on automatic feature points tracking. The proposed method comprises two steps. First, in the initial frame, the user selects two arbitrary points on the boundary of the small bowel. The distance between the two points represents the size of the small bowl. Second, each of the two points is automatically tracked by the use of Kanade-Lucas-Tomasi (KLT) tracker method in the temporal sequence images. The contraction movement of the small intestine can be automatically analyzed by tracking these two points. Compared with the conventional method based on small bowel segmentation, The KLT-tracker method allows us to analyze the small intestinal contraction movement faster and establish a more objective analysis method.
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