论文标题
从$ \ textit {intu {intu} $跳动心的视频计算的心脏运动学参数
Cardiac kinematic parameters computed from video of $\textit{in situ}$ beating heart
论文作者
论文摘要
心脏心脏手术期间心脏的机械功能仅通过超声心动图技术监测。但是,对局部运动学知之甚少,特别是在缺血性事件发生后重新填充的地区。我们报告了一种新颖的成像模式,该模式从$ \ textit {intu}的视频中提取本地和全局运动学参数,击败了心脏,显示了收缩事件的实时视频心脏图。一种自定义算法跟踪了将$ \ textit {Ad hoc} $定位在选定区域的视频标记的运动,并在整个记录中分析了收缩轨迹,位移,速度,速度,加速度,动能和力量。此外,通过粒子图像速度法工具分析了整体的心外膜速度和涡度。我们通过i)验证了我们的新技术,i)心脏缺血的计算建模,ii)缺血/重复的大鼠心脏的视频记录,iii)在冠状动脉旁路旁和之后击败人心的视频,以及iv)局部坦率的star效应。在大鼠中,我们观察到急性缺血期间运动学参数的减少,再灌注后同一区域的显着增量。我们在手术患者中检测到了类似的行为。这种模式在心脏结果上增加了重要的功能值,并以无接触和非侵入性模式支持干预。此外,它不需要特定的依赖操作员的技能。
Mechanical function of the heart during open-chest cardiac surgery is exclusively monitored by echocardiographic techniques. However, little is known about local kinematics, particularly for the reperfused regions after ischemic events. We report a novel imaging modality, which extracts local and global kinematic parameters from videos of $\textit{in situ}$ beating hearts, displaying live video cardiograms of the contraction events. A custom algorithm tracked the movement of a video marker positioned $\textit{ad hoc}$ onto a selected area and analyzed, during the entire recording, the contraction trajectory, displacement, velocity, acceleration, kinetic energy and force. Moreover, global epicardial velocity and vorticity were analyzed by means of Particle Image Velocimetry tool. We validated our new technique by i) computational modeling of cardiac ischemia, ii) video recordings of ischemic/reperfused rat hearts, iii) videos of beating human hearts before and after coronary artery bypass graft, and iv) local Frank-Starling effect. In rats, we observed a decrement of kinematic parameters during acute ischemia and a significant increment in the same region after reperfusion. We detected similar behavior in operated patients. This modality adds important functional values on cardiac outcomes and supports the intervention in a contact-free and non-invasive mode. Moreover, it does not require particular operator-dependent skills.