Aortic stenosis is an acute and chronic cardiovascular disease that often coexists with other complex valvular, ventricular and vascular diseases (C3VD). Transcatheter aortic valve replacement is an emerging less invasive intervention for patients with aortic stenosis. Although hemodynamics quantification is critical for accurate and early diagnosis of aortic stenosis and C3VD, proper diagnostic methods for these diseases are still lacking because fluid-dynamics methods, that can be used as engines of new diagnostic tools, are not well developed yet. As the heart resides in a sophisticated vascular network which imposes a load on the heart, effective diagnosis requires quantifications of the global hemodynamics (metrics of circulatory function and metrics of cardiac function), and of the local hemodynamics (cardiac fluid dynamics). To enable the development of new non-invasive diagnostic methods that can quantify local and global hemodynamics, we developed an innovative computational-mechanics and imaging-based framework that only needs patient data routinely and non-invasively measured in clinics. We not only validated the framework against clinical cardiac catheterization and Doppler echocardiographic measurements but also, we demonstrated its diagnostic utility in providing novel analyses and interpretations of clinical data.

主动脉瓣狭窄是一种急慢性心血管疾病，常与其他复杂的瓣膜、心室和血管疾病（C3VD）并存。经导管主动脉瓣置换术是针对主动脉瓣狭窄患者的一种新兴的微创干预措施。尽管血流动力学量化对于主动脉瓣狭窄和 C3VD 的准确和早期诊断至关重要，但仍然缺乏对这些疾病的正确诊断方法，因为可用作新诊断工具引擎的流体动力学方法尚未得到很好的发展。由于心脏位于复杂的血管网络中，这会给心脏带来负荷，因此有效的诊断需要对整体血流动力学（循环功能指标和心脏功能指标）和局部血流动力学（心脏流体动力学）进行量化。为了开发可以量化局部和全局血流动力学的新的非侵入性诊断方法，我们开发了一种创新的计算力学和基于成像的框架，该框架只需要在诊所常规和非侵入性测量患者数据。我们不仅针对临床心导管插入术和多普勒超声心动图测量验证了该框架，而且还证明了其在提供新的临床数据分析和解释方面的诊断效用。