标题： 健康人的心脏解剖与电生理整合：使用通用坐标进行双心室统计形状分析的见解 显示英文标题

标题： Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates

摘要： 心脏数字孪生是患者特定心脏的虚拟副本，模仿其解剖结构和生理功能。 构建心脏数字孪生的关键步骤是解剖双胞胎，其中数字孪生的计算网格根据患者特定的心脏解剖结构进行定制。 在一些研究中，使用计算模拟来研究解剖变异对心电图（ECGs）等临床相关功能测量的影响。 尽管这种模拟环境为研究人员提供了经过仔细控制的真实情况，但解剖差异对真实患者功能测量的影响仍研究不足。 在本研究中，我们开发了一个双心室统计形状模型，并利用它来量化双心室解剖对心电图衍生和人口统计特征的影响，为心脏电生理数字孪生的开发提供新的见解。 为此，使用了一个包含271名健康个体（包括运动员）的高分辨率心脏CT扫描数据集。 此外，开发了一种新颖的、通用的基于心室坐标的的方法，以建立轻量级形状对应关系。 该形状模型的性能得到了严格验证，重点在于其降维能力和训练数据需求。 此外，还提供了一个全面的合成队列，包含可以直接使用的双心室网格，具有纤维结构和解剖区域注释。 这些网格非常适合电生理模拟。 显示英文摘要

摘要： A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and physiology. A crucial step of building a cardiac digital twin is anatomical twinning, where the computational mesh of the digital twin is tailored to the patient-specific cardiac anatomy. In a number of studies, the effect of anatomical variation on clinically relevant functional measurements like electrocardiograms (ECGs) is investigated, using computational simulations. While such a simulation environment provides researchers with a carefully controlled ground truth, the impact of anatomical differences on functional measurements in real-world patients remains understudied. In this study, we develop a biventricular statistical shape model and use it to quantify the effect of biventricular anatomy on ECG-derived and demographic features, providing novel insights for the development of digital twins of cardiac electrophysiology. To this end, a dataset comprising high-resolution cardiac CT scans from 271 healthy individuals, including athletes, is utilized. Furthermore, a novel, universal, ventricular coordinate-based method is developed to establish lightweight shape correspondence. The performance of the shape model is rigorously established, focusing on its dimensionality reduction capabilities and the training data requirements. Additionally, a comprehensive synthetic cohort is made available, featuring ready-to-use biventricular meshes with fiber structures and anatomical region annotations. These meshes are well-suited for electrophysiological simulations.