Zhong Liang, Zhang Jun-Mei, Su Boyang, Tan Ru San, Allen John C, Kassab Ghassan S
National Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
Duke-NUS Medical School, Singapore, Singapore.
Front Physiol. 2018 Jun 26;9:742. doi: 10.3389/fphys.2018.00742. eCollection 2018.
The emergence of new cardiac diagnostics and therapeutics of the heart has given rise to the challenging field of virtual design and testing of technologies in a patient-specific environment. Given the recent advances in medical imaging, computational power and mathematical algorithms, patient-specific cardiac models can be produced from cardiac images faster, and more efficiently than ever before. The emergence of patient-specific computational fluid dynamics (CFD) has paved the way for the new field of computer-aided diagnostics. This article provides a review of CFD methods, challenges and opportunities in coronary and intra-cardiac flow simulations. It includes a review of market products and clinical trials. Key components of patient-specific CFD are covered briefly which include image segmentation, geometry reconstruction, mesh generation, fluid-structure interaction, and solver techniques.
新型心脏诊断和治疗技术的出现催生了在特定患者环境中进行技术虚拟设计和测试这一具有挑战性的领域。鉴于医学成像、计算能力和数学算法方面的最新进展，现在能够比以往更快、更高效地从心脏图像生成特定患者的心脏模型。特定患者计算流体动力学（CFD）的出现为计算机辅助诊断这一新领域铺平了道路。本文综述了CFD方法、冠状动脉和心内血流模拟中的挑战与机遇。其中包括对市场产品和临床试验的综述。简要介绍了特定患者CFD的关键组成部分，包括图像分割、几何重建、网格生成、流固耦合以及求解器技术。
