Use of motion field warping to generate cardiac images

G. Gao, W. Cockshott
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Abstract

In this study, we developed an algorithmic method to analyze late contrast-enhanced (CE) magnetic resonance (MR) images, revealing the so-called hibernating myocardium. The algorithm is based on an efficient and robust image registration algorithm. Using our method, we are able to integrate the static late CE MR image with its corresponding cardiac cine MR images, constructing cardiac motion CE MR images, which are referred to as cardiac cine CE MR images. This method appears promising as an improved cardiac viability assessment tool
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使用运动场扭曲生成心脏图像
在这项研究中,我们开发了一种算法方法来分析晚期对比增强(CE)磁共振(MR)图像,揭示所谓的冬眠心肌。该算法基于一种高效、鲁棒的图像配准算法。利用我们的方法,我们能够将静态的晚期CE MR图像与其相应的心脏电影MR图像进行整合,构建心脏运动CE MR图像,称为心脏电影CE MR图像。该方法有望成为一种改进的心脏活力评估工具
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