Automated assessment of small bowel motility function based on three-dimensional zero-mean normalized cross correlation

A. Taniguchi, A. Furukawa, S. Kanasaki, T. Tateyama, Yenwei Chen
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引用次数: 7

Abstract

In this paper, we propose an automated method for assessment of small bowel contraction movement based on a three-dimensional zero-mean normalized cross correlation method (3D-ZNCC) with cine-MRI. The correlation value between frames is proportional to area change of the small bowel and the temporal area change can be used as a measure of the small bowel contraction movement. In the conventional two-dimensional zero-mean normalized correlation (2D-ZNCC) method, only frame A and frame B are used for calculation of correlation between frame A and frame B. Since a complex shape change of the intestine is irregular, it was difficult to detect contraction movement. In order to solve this problem, we propose to use 3D ZNCC, in which sequence frames are used for correlation calculations instead of single frame. Since not only spatial changes, but also temporal changes are included, we can detect the contraction movement correctly. Experimental results show that our method is better than conventional method.
基于三维零均值归一化互相关的小肠运动功能自动评估
在本文中,我们提出了一种基于三维零均值归一化相互关联方法(3D-ZNCC)和电影mri的小肠收缩运动自动评估方法。帧间的相关值与小肠面积变化成正比,颞叶面积变化可作为小肠收缩运动的量度。在传统的二维零均值归一化相关(2D-ZNCC)方法中,仅使用帧A和帧B来计算帧A和帧B之间的相关性。由于肠道复杂的形状变化是不规则的,因此很难检测到收缩运动。为了解决这个问题,我们提出使用3D ZNCC,其中序列帧代替单帧进行相关计算。由于不仅包括空间变化,还包括时间变化,因此我们可以正确地检测到收缩运动。实验结果表明,该方法优于传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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