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Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings

机译:使用合成超声心动图记录对五种3D斑点跟踪算法进行详细评估

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A plethora of techniques for cardiac deformation imaging with 3D ultrasound, typically referred to as 3D speckle tracking techniques, are available from academia and industry. Although the benefits of single methods over alternative ones have been reported in separate publications, the intrinsic differences in the data and definitions used makes it hard to compare the relative performance of different solutions. To address this issue, we have recently proposed a framework to simulate realistic 3D echocardiographic recordings and used it to generate a common set of ground-truth data for 3D speckle tracking algorithms, which was made available online. The aim of this study was therefore to use the newly developed database to contrast non-commercial speckle tracking solutions from research groups with leading expertise in the field. The five techniques involved cover the most representative families of existing approaches, namely block-matching, radio-frequency tracking, optical flow and elastic image registration. The techniques were contrasted in terms of tracking and strain accuracy. The feasibility of the obtained strain measurements to diagnose pathology was also tested for ischemia and dyssynchrony.
机译:学术界和工业界可获得大量的用于通过3D超声进行心脏变形成像的技术,通常称为3D斑点跟踪技术。尽管在不同的出版物中已经报道了单一方法相对于替代方法的优势,但是所使用的数据和定义的内在差异使得很难比较不同解决方案的相对性能。为了解决这个问题,我们最近提出了一个模拟逼真的3D超声心动图记录的框架,并使用该框架为3D斑点跟踪算法生成了一组通用的地面真相数据,该数据已在线提供。因此,本研究的目的是使用新开发的数据库来对比来自具有该领域领先专业知识的研究小组的非商业斑点跟踪解决方案。涉及的五种技术涵盖了现有方法中最具代表性的系列,即块匹配,射频跟踪,光流和弹性图像配准。对比了跟踪和应变精度方面的技术。还测试了获得的应变测量值诊断病理的可行性,以用于局部缺血和不同步。

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