Heart vessel extraction using motion based heart area extraction

Majid Ziashahabiand, A. Behrad
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Abstract

In this paper, a new method for heart vessel extraction based on heart area segmentation in angiogram image sequences is presented. One of the difficulties in vessel extraction in angiogram images is the detection of ribs and spins as vessels. Therefore, to cope with this problem, we utilize motion information to segment heart area. Then a two-stage vessel extraction algorithm is utilized to extract heart vessels efficiently. The vessel extraction algorithm, firstly extracts thick vessel, then the vessel extraction is completed by utilizing a new morphology based algorithm. Experimental results show that the proposed algorithm extracts heart area precisely using motion based segmentation, and hence vessel extraction accuracy of 95.16% is obtained.
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基于运动的心脏区域提取的心脏血管提取
本文提出了一种基于血管造影图像序列中心脏区域分割的心脏血管提取方法。血管造影图像中血管提取的难点之一是肋骨和旋转作为血管的检测。因此,为了解决这一问题,我们利用运动信息对心脏区域进行分割。然后采用两阶段血管提取算法对心脏血管进行有效提取。血管提取算法首先提取粗血管,然后利用一种新的基于形态学的血管提取算法完成血管提取。实验结果表明,该算法采用基于运动的分割方法精确提取心脏区域,血管提取准确率达95.16%。
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