基于FPGA的心脏阻塞检测图像处理算法的设计与实现

Shrinivas B Mudigoudar, A. Rasheed
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引用次数: 10

摘要

如今,主要的健康问题都与心脏问题有关,比如心脏病发作。心脏病发作的主要原因是斑块。心脏斑块是冠状动脉内形成的蜡状物质。斑块导致冠状动脉内部阻塞。心脏血管造影或心导管是诊断冠状动脉阻塞的一种方法。这是一种昂贵且侵入性的检测心脏阻塞的方法。因此,血管造影是诊断心脏阻塞的常规方法。本文通过在FPGA(硬件实现)上实现的Canny边缘检测器和Watershed图像处理算法检测心脏阻塞。设计功耗为118 mW,最大工作频率为338.295 MHz,最小工作周期为2.956 ns。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of image processing algorithms for cardiac blockage detection on FPGA
Nowadays, major health issues are concerned with heart problems say, heart attack. The main cause for heart attack is plaque. The Cardiac Plaque is waxy substance buildup inside the coronary arteries. Plaque results blockages inside the coronary arteries. The cardiac angiogram or cardiac catheterization is an approach used for the diagnosis of coronary blockages. It is an expensive and invasive approach to detect cardiac blockages. So, the angiogram is a conventional approach to diagnose cardiac blockages. In this paper, cardiac blockages are detected by means of Canny edge detector and Watershed image processing algorithms implemented on FPGA (Hardware implementation). The proposed design consumes power of 118 mW and maximum operating frequency is 338.295 MHz and minimum period is 2.956 ns.
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