Systolic Anterior Motion (SAM) of the mitral valve – often associated with Hypertrophic Obstructive Cardiomyopathy (HOCM) – is a cardiac pathology in which a functional subaortic stenosis is induced during systole by the mitral leaflets partially obstructing the outflow tract of the left ventricle. Its assessment by diagnostic tests is often difficult, possibly underestimating its severity and thus increasing the risk of heart failure. In this paper, we propose a new computational pipeline, based on cardiac cine Magnetic Resonance Imaging (cine-MRI) data, for the assessment of SAM. The pipeline encompasses image processing of the left ventricle and the mitral valve, and numerical investigation of cardiac hemodynamics by means of Computational Fluid Dynamics (CFD) in a moving domain with image-based prescribed displacement. Patient-specific geometry and motion of the left ventricle are considered in view of an Arbitrary Lagrangian–Eulerian approach for CFD, while the reconstructed mitral valve is immersed in the computational domain by means of a resistive method. We assess clinically relevant flow and pressure indicators in a parametric study for different degrees of SAM severity, in order to provide a better quantitative evaluation of the pathological condition. Moreover, we provide specific indications for its possible surgical treatment, i.e. septal myectomy.

二尖瓣的收缩前运动（SAM）–通常与肥厚性梗阻性心肌病（HOCM）有关–是一种心脏病理，其中二尖瓣小叶部分地阻塞了左心室流出道，在收缩期诱发了功能性主动脉狭窄。通过诊断测试对其进行评估通常很困难，可能会低估其严重性，从而增加心力衰竭的风险。在本文中，我们提出了一种基于心脏电影磁共振成像（cine-MRI）数据的新计算管道，用于评估SAM。该管道包括左心室和二尖瓣的图像处理，以及在基于图像的指定位移的运动域中通过计算流体动力学（CFD）进行的心脏血液动力学数值研究。考虑到CFD的任意Lagrangian-Eulerian方法，考虑了患者特定的几何形状和左心室的运动，而通过阻力方法将重建的二尖瓣浸没在计算域中。我们在针对不同程度的SAM严重性的参数研究中评估临床相关的流量和压力指标，以提供对病理状况的更好定量评估。此外，我们为其可能的手术治疗（即隔肌切除术）提供了具体的适应症。我们在针对不同程度的SAM严重性的参数研究中评估临床相关的流量和压力指标，以提供对病理状况的更好定量评估。此外，我们为其可能的手术治疗（即隔肌切除术）提供了具体的适应症。我们在针对不同程度的SAM严重性的参数研究中评估临床相关的流量和压力指标，以提供对病理状况的更好定量评估。此外，我们为其可能的手术治疗（即隔肌切除术）提供了具体的适应症。