Hoffmann Martin H K, Lessick Jonathan, Manzke Robert, Schmid Florian T, Gershin Edward, Boll Daniel T, Rispler Shmuel, Aschoff Andrik J, Grass Michael
Department of Diagnostic Radiology, University Hospital of Ulm, Steinhoevelstrasse 9, 89070, Ulm, Germany.
Eur Radiol. 2006 Feb;16(2):365-73. doi: 10.1007/s00330-005-2849-z. Epub 2005 Jul 14.
Low motion phases for cardiac computed tomography reconstructions are currently detected manually in a user-dependent selection process which is often time consuming and suboptimal. The concept of motion maps was recently introduced to achieve automatic phase selection. This pilot study compared the accuracy of motion-map phase selection to that with manual iterative selection. The study included 20 patients, consisting of one group with low and one with high heart rate. The technique automatically derives a motion strength function between multiple low-resolution reconstructions through the cardiac cycle, with periods of lowest difference between neighboring phases indicating minimal cardiac motion. A high level of agreement was found for phase selection achieved with the motion map approach compared with the manual iterative selection process. The motion maps allowed automated quiescent phase detection of the cardiac cycle in 85% of cases, with best results at low heart rates and for the left coronary artery. They can also provide additional information such as the presence of breathing artifacts. Motion maps show promise as a rapid off-line tool to automatically detect quiescent cardiac phases in a variety of patients.
目前，心脏计算机断层扫描重建的低运动期是在一个依赖用户的选择过程中手动检测的，这个过程通常很耗时且并非最优。最近引入了运动图的概念以实现自动相位选择。这项初步研究将运动图相位选择的准确性与手动迭代选择的准确性进行了比较。该研究纳入了20名患者，分为心率低的一组和心率高的一组。该技术通过心动周期自动推导多个低分辨率重建之间的运动强度函数，相邻相位之间差异最小的时期表明心脏运动最小。与手动迭代选择过程相比，发现运动图方法实现的相位选择具有高度一致性。运动图在85%的病例中实现了心动周期静止期的自动检测，在低心率和左冠状动脉情况下效果最佳。它们还可以提供诸如呼吸伪影存在等额外信息。运动图有望成为一种快速的离线工具，用于自动检测各种患者的心脏静止期。
