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Direct Myocardial Strain Assessment from Frequency Estimation in Tagging MRI

机译:标记MRI频率估计直接心肌应变评估

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We propose a new method to analyse deformation of the cardiac left ventricular wall from tagging magnetic resonance images. The method exploits the fact that the time-dependent frequency covector field representing the tag pattern is tightly coupled to the myocardial deformation and not affected by tag fading. Deformation and strain tensor fields can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. Our method does not require knowledge of material motion or tag line extraction. We consider the conventional case of two tag directions, as well as the overdetermined case of four tag directions, which improves robustness. Additional scan time can be prevented by using one or two grid patterns consisting of multiple, simultaneously acquired tag directions. This concept is demonstrated on patient data. Tracking errors obtained for phantom data are smaller than those obtained by HARP, 0.32±0.14 px versus 0.53±0.07 px. Strain results for volunteers are compared with corresponding linearised strain fields derived from HARP.
机译:我们提出了一种新方法来分析心脏左心室壁的变形标记磁共振图像。该方法利用表示标签图案的时间依赖频率副芯板的事实紧密地耦合到心肌变形,而不是受标签衰落的影响。可以从给定至少n(独立的)标记序列的局部频率估计来检索变形和应变张测字段,其中n表示空间尺寸。我们的方法不需要了解材料运动或标签排列。我们考虑两个标签方向的传统情况,以及四个标签方向的过定情况,从而提高了鲁棒性。可以通过使用由多个同时获取标签方向组成的一个或两个网格图案来防止额外的扫描时间。在患者数据上证明了这种概念。为Phantom数据获得的跟踪误差小于通过HARP获得的数据,0.32±0.14 PX与0.53±0.07 PX。将志愿者的应变结果与源自竖琴衍生的相应的线性化应变场进行比较。

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