Moore C C, O'Dell W G, McVeigh E R, Zerhouni E A
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
J Magn Reson Imaging. 1992 Mar-Apr;2(2):165-75. doi: 10.1002/jmri.1880020209.
The noninvasive measurement of time-resolved three-dimensional (3D) strains throughout the myocardium could greatly improve the clinical evaluation of cardiac disease and the ability to mathematically model the heart. On the basis of orthogonal arrays of tagged magnetic resonance (MR) images taken at several times during systole, such strains can be determined, but only after heart motion through the image planes is taken into account. An iterative material point-tracking algorithm is presented to solve this problem. It is tested by means of mathematical models of the heart with cylindric and spherical geometries that undergo deformations and bulk motions. Errors introduced by point-tracking interpolation were found to be negligible compared with those due to marker identification on the images. In a human heart studied with this technique, the corrected radial strains at the left ventricular base were approximately 2.5 times the two-dimensional estimates derived from the fixed image planes. The authors conclude that material point tracking allows accurate, time-resolved 3D strains to be calculated from tagged MR images, and that prior correction for motion of the heart through image planes is necessary.
对整个心肌进行时间分辨三维(3D)应变的无创测量,可极大地改善心脏病的临床评估以及对心脏进行数学建模的能力。基于在心动周期的多个时刻采集的带标记磁共振(MR)图像的正交阵列,可以确定此类应变,但前提是要考虑心脏在图像平面中的运动。本文提出了一种迭代物质点跟踪算法来解决这个问题。通过具有圆柱和球形几何形状且经历变形和整体运动的心脏数学模型对其进行了测试。发现与图像上标记识别所产生的误差相比,点跟踪插值引入的误差可忽略不计。在用该技术研究的人体心脏中,左心室基部经校正的径向应变约为从固定图像平面得出的二维估计值的2.5倍。作者得出结论,物质点跟踪能够从带标记的MR图像中计算出准确的、时间分辨的3D应变,并且对心脏在图像平面中的运动进行预先校正是必要的。