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首页> 外文期刊>Radiology >Three-dimensional myocardial deformations: calculation with displacement field fitting to tagged MR images.
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Three-dimensional myocardial deformations: calculation with displacement field fitting to tagged MR images.

机译：三维心肌变形：使用位移场拟合标记的MR图像进行计算。

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PURPOSE: To reconstruct three-dimensional (3D) myocardial deformations from orthogonal sets of parallel-tagged magnetic resonance (MR) images. MATERIALS AND METHODS: Displacement information in the direction normal to the undeformed tag planes was obtained at points along tag lines. Three independent sets of one-dimensional displacement data were used to fit an analytical series expression to describe 3D displacement as a function of deformed position. The technique was demonstrated with computer-generated models of the deformed left ventricle with data from healthy human volunteers. RESULTS: Model deformations were reconstructed with a 3D tracking error of less than 0.3 mm. Error between estimated and observed one-dimensional displacements along the tags in 10 human subjects was 0.00 mm +/- 0.36 (mean +/- standard deviation). Robustness to noise in the tag displacement data was demonstrated by using a Monte Carlo simulation. CONCLUSION: The combination of rapidly acquired parallel-tagged MR images andfield-fitting analysis is a valuable tool in cardiac mechanics research and in the clinical assessment of cardiac mechanical function.
机译：目的：从正交标记磁共振（MR）图像的正交集重建三维（3D）心肌变形。材料与方法：在垂直于未变形标签平面的方向上的位移信息是在沿标签线的点获得的。使用三组独立的一维位移数据来拟合分析级数表达式，以将3D位移描述为变形位置的函数。该技术已用计算机生成的左心室变形模型与健康人类志愿者的数据进行了证明。结果：重建模型变形，其3D跟踪误差小于0.3毫米。在10位人类受试者中，沿着标签的估计和观察到的一维位移之间的误差是0.00 mm +/- 0.36（平均+/-标准偏差）。通过使用蒙特卡洛模拟，证明了标签位移数据中噪声的鲁棒性。结论：快速采集的带有平行标签的MR图像与场拟合分析相结合，在心脏力学研究和心脏力学功能的临床评估中是一种有价值的工具。

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