基于分层区域的冠状动脉造影全局运动还原模板匹配技术

K. Kulathilake, L. Ranathunga, G. Constantine, N. A. Abdullah
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引用次数: 3

摘要

摘要-冠状动脉造影(CCA)是一种用于确定冠状动脉狭窄的侵入性医学图像方式。由于心脏跳动引起的全局运动对CCA图像显示的血管结构之间的视觉对齐产生了很大的干扰。因此,记录的血管结构在CCA中的位置在帧序列中是不同的。本文提出了一种基于层次区域的模板匹配技术,通过减少全局运动伪影来重建CCA。所提出的运动减少技术是有效的,它通过减少背景运动来重建CCA。实验结果表明,该方法能够保持框架内血流的视觉对齐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical Region Based Template Matching Technique for Global Motion Reduction of Coronary Cineangiograms
 Abstract—The Coronary Cineangiogram (CCA) is an invasive medical image modality which is used to determine the stenosis in the Coronary Arteries. The global motion occurring due to the heart beat makes great disturbance to obtain the visual alignment among the vessel structure shown in the CCA frames. Therefore, the recorded vessel structure's position in CCA varies within the frame sequence. This paper describes a hierarchical region based template matching technique to reconstruct the CCA by reducing the global motion artifacts. This proposed motion reduction technique is efficient and it reconstructs the CCA by reducing the background motion as desired. Experimental results of this method have shown its' ability to maintain the visual alignment of the internal blood flow among the frames.
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