O'Dell W G, Moore C C, Hunter W C, Zerhouni E A, McVeigh E R
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Radiology. 1995 Jun;195(3):829-35. doi: 10.1148/radiology.195.3.7754016.
To reconstruct three-dimensional (3D) myocardial deformations from orthogonal sets of parallel-tagged magnetic resonance (MR) images.
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.
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.
The combination of rapidly acquired parallel-tagged MR images and field-fitting analysis is a valuable tool in cardiac mechanics research and in the clinical assessment of cardiac mechanical function.
从平行标记磁共振（MR）图像的正交集中重建三维（3D）心肌变形。
在标记线沿线的点处获得垂直于未变形标记平面方向的位移信息。使用三组独立的一维位移数据来拟合一个解析级数表达式，以将3D位移描述为变形位置的函数。通过计算机生成的变形左心室模型以及来自健康人类志愿者的数据对该技术进行了演示。
模型变形的重建3D跟踪误差小于0.3毫米。10名人类受试者中，沿标记方向估计的和观察到的一维位移之间的误差为0.00毫米±0.36（平均值±标准差）。通过蒙特卡罗模拟证明了对标记位移数据中噪声的鲁棒性。
快速采集的平行标记MR图像与场拟合分析相结合，是心脏力学研究和心脏机械功能临床评估中的一种有价值的工具。
