Coronary angiogram stabilization for QuBE values calculation using SIFT method

2011 2nd International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering Pub Date : 2011-12-22 DOI:10.1109/ICICI-BME.2011.6108605

A. Kusumawardhani, T. Mengko, I. Fahri, S. Soerianata, D. Firman, H. Zakaria

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引用次数: 5

Abstract

In clinical practice, Myocardial Blush Grade (MBG) has been used to obtain information about microvascular condition in myocardial infarction by using coronary angiogram. Quantitative Blush Evaluator (QuBE) program was developed for the calculation of myocardial perfusion score. Calculation of QuBE values is often affected by patient motion and become inaccurate. In this paper, we proposed an algorithm to reduce undesired motion in coronary angiogram. This algorithm correct frame motion by shifting each single frame according to the best correlation with the first frame. The effectiveness of this stablizing method achieved by searching scale-invariant feature from each frame of coronary angiogram in order to find the best correlation between two frame. The results showed that MBG categorization based on modified QuBE program exactly match with the original QuBE program. In addition, results also showed that application of stabilization algorithm using SIFT method decreased the deviation by 15% therefore it increased the accuracy of QuBE value calculation. Finally, this new algorithm also decreased the execution time by 71% so the doctor could faster patient diagnosis. In conclusion the new algorithm could enhance the qualitiy of QuBE value calculations in MBG scoring for coronary angiogram.

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用SIFT方法计算冠状动脉造影稳定的QuBE值

在临床实践中，心肌红晕分级(Myocardial Blush Grade, MBG)已被应用于冠状动脉造影来获取心肌梗死微血管状况的信息。开发了定量腮红评价器(QuBE)程序，用于心肌灌注评分的计算。QuBE值的计算经常受到患者运动的影响而变得不准确。本文提出了一种减少冠状动脉造影中不期望运动的算法。该算法根据与第一帧的最佳相关性，通过移动每一帧来校正帧的运动。该方法通过对冠状动脉造影图像的每一帧图像进行尺度不变特征的搜索，以找到两帧图像之间的最佳相关性，从而达到稳定图像的效果。结果表明，基于改进QuBE程序的MBG分类与原QuBE程序匹配较好。此外，结果还表明，采用SIFT方法的稳定化算法使偏差降低了15%，从而提高了QuBE值计算的精度。最后，该算法还将执行时间缩短了71%，从而使医生能够更快地诊断患者。综上所述，该算法可提高冠状动脉造影MBG评分中QuBE值计算的质量。

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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2011 2nd International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering

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