Abd-Elmoniem Khaled Z, Stuber Matthias, Osman Nael F, Prince Jerry L
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Inf Process Med Imaging. 2005;19:639-51. doi: 10.1007/11505730_53.
Three-dimensional imaging and quantification of myocardial function are essential steps in the evaluation of cardiac disease. We propose a tagged magnetic resonance imaging methodology called zHARP that encodes and automatically tracks myocardial displacement in three dimensions. Unlike other motion encoding techniques, zHARP encodes both in-plane and through-plane motion in a single image plane without affecting the acquisition speed. Postprocessing unravels this encoding in order to directly track the 3-D displacement of every point within the image plane throughout an entire image sequence. Experimental results include a phantom validation experiment, which compares zHARP to phase contrast imaging, and an in vivo study of a normal human volunteer. Results demonstrate that the simultaneous extraction of in-plane and through-plane displacements from tagged images is feasible.
心肌功能的三维成像和量化是评估心脏疾病的关键步骤。我们提出了一种名为zHARP的标记磁共振成像方法，该方法可在三维空间中编码并自动跟踪心肌位移。与其他运动编码技术不同，zHARP可在单个图像平面中对平面内运动和平面间运动进行编码，而不会影响采集速度。后处理可解开这种编码，以便在整个图像序列中直接跟踪图像平面内每个点的三维位移。实验结果包括一个模型验证实验，该实验将zHARP与相位对比成像进行了比较，以及一项对正常人类志愿者的体内研究。结果表明，从标记图像中同时提取平面内和平面间位移是可行的。
