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Implementation of medical image segmentation using Virtex FPGA kit

机译:使用Virtex FPGA套件实现医学图像分割

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In the decade of technological advancement, the image processing techniques has made it possible to save lives of several beings. The diagnosis of cardiovascular involved in complex procedures whereas the analysis of blood vessels carried out. The image segmentation technique is used to eliminate such complexities in Ultrasound carotid image diagnosis. In this paper the implementation of segmented intima-media interface of the common carotid artery image has been proposed in real time Virtex Field Programmable Gate Array. The intima-media interface has been extracted using threshold segmentation technique. The pre-processing step is used to remove speckles present in the ultrasound carotid image and the morphological techniques can be used in segmentation algorithm with the aid of Aphelion Dev software. The resulting image has been implemented in Virtex which provides minimum hardware resources and low power consumption and is desirable for real time medical applications and analysis.
机译:在技​​术发展的十年中,图像处理技术已使挽救多个生物的生命成为可能。心血管疾病的诊断涉及复杂的程序,而血管的分析却需要进行。图像分割技术用于消除超声颈动脉图像诊断中的此类复杂性。在本文中,提出了在实时Virtex现场可编程门阵列中实现颈总动脉图像的分段内膜-中膜界面的实现。内膜-媒体界面已使用阈值分割技术提取。预处理步骤用于去除超声颈动脉图像中存在的斑点,并且借助Aphelion Dev软件可以将形态学技术用于分割算法。最终的图像已在Virtex中实现,该图像提供最少的硬件资源和低功耗,是实时医疗应用和分析所需要的。

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