Meador William D, Malinowski Marcin, Jazwiec Tomasz, Goehler Matthew, Quay Nathan, Timek Tomasz A, Rausch Manuel K
Department of Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, TX, USA; Department of Biomedical Engineering, University of Texas at Austin, TX, USA.
Meijer Heart and Vascular Institute at Spectrum Health, Michigan, MI, USA; Department of Cardiac Surgery, Medical University of Silesia, Katowice, Poland.
J Biomech. 2018 Oct 26;80:179-185. doi: 10.1016/j.jbiomech.2018.08.036. Epub 2018 Sep 4.
Quantifying ventricular deformation in health and disease is critical to our understanding of normal heart function, heart disease mechanisms, and the effect of medical treatments. Imaging modalities have been developed that can measure ventricular deformation non-invasively. However, because of the small thickness, complex shape, and anatomic position of the right ventricle, using these technologies to determine its deformation remains challenging. Here we develop a first fiduciary marker-based method to assess heterogeneity and anisotropy of right ventricular epicardial strain across the entire free wall. To this end, we combine a high-density array of sonomicrometry crystals implanted across the entire right ventricular epicardial surface with a subdivision surface algorithm and a large deformation kinematics framework. We demonstrate our approach on four beating ovine hearts and present a preliminary regional analysis of circumferential, longitudinal, and areal strain. Moreover, we illustrate maps of the same strains across the entire right ventricular epicardial surface to highlight their spatial heterogeneity and anisotropy. We observe in these animals that RV epicardial strains vary throughout the cardiac cycle, are heterogeneous across the RV free wall, and are anisotropic with larger compressive strains, i.e., contraction, in the longitudinal direction than in the circumferential direction. Average peak compressive strains vary by region between -3.34% and -8.29% in circumferential direction, and -4.02% and -10.57% in longitudinal direction. In summary, we introduce an experimental framework that will allow us to study disease- and device-induced deformations, and long-term consequences of these deformations, including heterogeneous and anisotropic effects.
量化健康和疾病状态下的心室变形对于我们理解正常心脏功能、心脏病机制以及医学治疗效果至关重要。现已开发出能够无创测量心室变形的成像方式。然而,由于右心室厚度小、形状复杂且解剖位置特殊,利用这些技术确定其变形仍然具有挑战性。在此,我们开发了一种基于首个基准标记的方法,以评估整个游离壁上右心室心外膜应变的异质性和各向异性。为此,我们将植入整个右心室心外膜表面的高密度超声测微晶体阵列与细分曲面算法和大变形运动学框架相结合。我们在四颗跳动的绵羊心脏上展示了我们的方法,并对圆周应变、纵向应变和面积应变进行了初步的区域分析。此外,我们绘制了整个右心室心外膜表面相同应变的图谱,以突出其空间异质性和各向异性。我们在这些动物中观察到,右心室心外膜应变在心动周期中变化,在右心室游离壁上是异质的,并且是各向异性的,纵向方向的压缩应变(即收缩)比圆周方向更大。圆周方向平均峰值压缩应变在不同区域之间为-3.34%至-8.29%,纵向方向为-4.02%至-10.57%。总之,我们引入了一个实验框架,这将使我们能够研究疾病和器械引起的变形,以及这些变形的长期后果,包括异质和各向异性效应。