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An Embedding Framework for Myocardial Velocity Processing with MRI

机译:MRI的心肌速度处理嵌入框架

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This paper presents an embedding framework for myocardial velocity processing with MRI based on a hollow, semi-spherical template. The relationship between vector bundle and manifold mapping is analysed and three different mapping methods that include tangent mapping, normal mapping, and normal-tangent mapping are assessed for their practical value of myocardial contractility analysis. The proposed method provides a basis for consistent volume matching and vector correspondence, in addition to the ease of calculating biomechanical indices such as radial, circumferential and longitudinal strain rates without the concern of boundary effects. Detailed analysis results with both synthetic and in vivo MR velocity data sets are provided.
机译:本文介绍了基于空心,半球形模板的MRI对心肌速度处理的嵌入框架。分析了向量束和歧管映射之间的关系,并评估了三种不同的映射方法,包括切线映射,正常映射和正常切线映射,以进行心肌收缩性分析的实际价值。除了在没有边界效应的关注的情况下计算诸如径向,周向和纵向应变率的易于计算生物力学指标之外,所提出的方法还提供了一致的体积匹配和矢量对应的基础。提供了合成和体内MR速度数据集的详细分析结果。

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