Pedrizzetti Gianni, Claus Piet, Kilner Philip J, Nagel Eike
Department of Engineering and Architecture, University of Trieste, Trieste, Italy.
Department of Cardiovascular Diseases, Laboratory for Cardiovascular Imaging and Dynamics, KU Leuven, Leuven, Belgium.
J Cardiovasc Magn Reson. 2016 Aug 26;18(1):51. doi: 10.1186/s12968-016-0269-7.
Tissue tracking technology of routinely acquired cardiovascular magnetic resonance (CMR) cine acquisitions has increased the apparent ease and availability of non-invasive assessments of myocardial deformation in clinical research and practice. Its widespread availability thanks to the fact that this technology can in principle be applied on images that are part of every CMR or echocardiographic protocol. However, the two modalities are based on very different methods of image acquisition and reconstruction, each with their respective strengths and limitations. The image tracking methods applied are not necessarily directly comparable between the modalities, or with those based on dedicated CMR acquisitions for strain measurement such as tagging or displacement encoding. Here we describe the principles underlying the image tracking methods for CMR and echocardiography, and the translation of the resulting tracking estimates into parameters suited to describe myocardial mechanics. Technical limitations are presented with the objective of suggesting potential solutions that may allow informed and appropriate use in clinical applications.
常规采集的心血管磁共振(CMR)电影图像的组织追踪技术,提高了在临床研究和实践中对心肌变形进行无创评估的便利性和可行性。由于该技术原则上可应用于每个CMR或超声心动图检查方案中的图像,因此其应用广泛。然而,这两种检查方式基于截然不同的图像采集和重建方法,各有其优缺点。所应用的图像追踪方法在这两种检查方式之间,或与基于标记或位移编码等用于应变测量的专用CMR采集方法之间,不一定具有直接可比性。在此,我们描述CMR和超声心动图图像追踪方法的基本原理,以及将所得追踪估计值转化为适合描述心肌力学的参数的过程。还介绍了技术局限性,目的是提出可能的解决方案,以便在临床应用中进行明智和恰当的使用。