HYBRID BOUNDARY DETECTION METHOD FOR IMAGE WITH APPLICATION TO CORONARY PLAQUE
HYBRID BOUNDARY DETECTION METHOD FOR IMAGE WITH APPLICATION TO CORONARY PLAQUE
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DOI：
10.17781/p001297
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
S. Anam;N. Uchino
中科院分区：
文献类型：
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作者：
S. Anam;N. Uchino
提出了一种基于改进水平集方法和模糊模型的混合图像边界检测方法。它被应用到冠状动脉斑块的边界检测问题。水平集方法在图像处理中有着广泛的应用。然而，它对于血管内超声（IVUS）图像不能很好地工作，因为通常用于在水平集方法中计算速度函数的图像梯度不能很好地检测图像边界。将水平集方法和加权图像可分性方法应用于冠状动脉斑块边界检测问题。然而，水平集方法不能检测在几个区域中的斑块边界。一个问题是，由加权可分性检测的斑块边界的候选者在几个区域不清楚。另一个问题是IVUS图像经常会出现阴影，并且其中不包含纹理信息，这是由于导丝的存在而导致的。为了克服这个问题，我们提出了一个新的修改的水平集，我们进一步提出了一种混合边界检测方法的基础上，新的修改的水平集和高木Sugeno（T-S）模糊模型检测冠状动脉斑块的边界。所提出的方法的边界检测精度显着优于以前的方法，我们在过去提出的。
This paper proposes a hybrid boundary detection method for image based on a new modified level set method and a fuzzy model. It is applied to a boundary detection problem of coronary plaque. Level set method has been applied widely in image processing. It however does not work well for an intravascular ultrasound (IVUS) image because an image gradient, commonly used for calculating a speed function in the level set method, cannot detect an image boundary well. The level set method and the weighted image separability proposed by the authors in the past were applied for a coronary plaque boundary detection problem. The level set method could not however detect the plaque boundary in several regions. One problem was that the candidates of the plaque boundary detected by the weighted separability were unclear in several regions. The other problem was that the IVUS image often becomes shadowed and it contains no texture information there, which is caused by the presence of the guide wire. To overcome this problem, we propose a new modified level set, and we further propose a hybrid boundary detection method based on the new modified level set and the Takagi Sugeno (T-S) fuzzy model for detecting a coronary plaque boundary. The boundary detection accuracy of the proposed method was significantly better than those of the previous methods we proposed in the past.