Ardekani Siamak, Jain Saurabh, Sanzi Alianna, Corona-Villalobos Celia P, Abraham Theodore P, Abraham M Roselle, Zimmerman Stefan L, Wu Katherine C, Winslow Raimond L, Miller Michael I, Younes Laurent
Center for Imaging Science, Johns Hopkins University, USA; Institute for Computational Medicine, Johns Hopkins University, USA.
Center for Imaging Science, Johns Hopkins University, USA.
Med Image Anal. 2016 Apr;29:12-23. doi: 10.1016/j.media.2015.11.004. Epub 2015 Dec 10.
The focus of this study was to develop advanced mathematical tools to construct high-resolution 3D models of left-ventricular (LV) geometry to evaluate focal geometric differences between patients with hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) using cardiac magnetic resonance (MR) cross-sectional images. A limiting factor in 3D analysis of cardiac MR cross-sections is the low out-of-plane resolution of the acquired images. To overcome this problem, we have developed a mathematical framework to construct a population-based high-resolution 3D LV triangulated surface (template) in which an iterative matching algorithm maps a surface mesh of a normal heart to a set of cross-sectional contours that were extracted from short-axis cine cardiac MR images of patients who were diagnosed with either HCM or HHD. A statistical analysis was conducted on deformations that were estimated at each surface node to identify shape differences at end-diastole (ED), end-systole (ES), and motion-related shape variation from ED to ES. Some significant shape difference in radial thickness was detected at ES. Differences of LV 3D surface geometry were identified focally on the basal anterior septum wall. Further research is needed to relate these findings to the HCM morphological substrate and to design a classifier to discriminate among different etiologies of LV hypertrophy.
本研究的重点是开发先进的数学工具,以构建左心室(LV)几何结构的高分辨率三维模型,从而利用心脏磁共振(MR)横截面图像评估肥厚型心肌病(HCM)患者和高血压性心脏病(HHD)患者之间的局灶性几何差异。心脏MR横截面三维分析中的一个限制因素是所采集图像的平面外分辨率较低。为克服这一问题,我们开发了一个数学框架,以构建基于人群的高分辨率三维LV三角测量表面(模板),其中一种迭代匹配算法将正常心脏的表面网格映射到从诊断为HCM或HHD的患者的短轴电影心脏MR图像中提取的一组横截面轮廓上。对每个表面节点处估计的变形进行了统计分析,以识别舒张末期(ED)、收缩末期(ES)以及从ED到ES的运动相关形状变化时的形状差异。在ES时检测到了一些径向厚度上的显著形状差异。LV三维表面几何结构的差异在基底前间隔壁上被局灶性识别。需要进一步研究将这些发现与HCM的形态学基质联系起来,并设计一种分类器来区分LV肥厚的不同病因。