Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function.

Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function.
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DOI:
10.1016/j.media.2009.07.006
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发表时间:
2009-10
影响因子:
10.9
通讯作者:
Nash MP
Nash MP
中科院分区:
工程技术1区
文献类型:
--
作者:
Wang VY;Lam HI;Ennis DB;Cowan BR;Young AA;Nash MP

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大多数临床诊断为心力衰竭的患者收缩期泵功能正常,通常被归类为舒张性心力衰竭。左心室(LV)重塑其结构和功能,以适应几何和负荷条件下的病理生理变化,从而改变被动的室壁力学。为了更好地理解被动心室力学,利用非线性有限元拟合技术,建立了犬心脏被动心室壁有限元模型,该模型从活体标记的磁共振图像(MRI)数据中分割出几何数据和由体外扩散张量磁共振(DTMRI)获得的肌纤维方向。MRI组织标记法能够以高空间和时间分辨率定量评估心脏机械功能,而DTMRI每个体素中最大水分扩散的方向直接对应于局部心肌纤维方向。由于活体和体外心肌成像的几何形状不同,使用宿主网格拟合(一种自由变形技术)将肌纤维方向映射到几何有限元模型中。在时间上与标记数据同步的压力记录被用作加载约束,以模拟舒张期的LV变形。舒张期左心室力学的模拟使我们能够根据标记的MRI获得的运动学数据来估计被动左室心肌的硬度。这种集成的生理学模型将使我们在个体化的基础上更深入地了解左室的力学,从而提高我们对病理条件下机械功能障碍的潜在结构基础的理解。
The majority of patients with clinically diagnosed heart failure have normal systolic pump function and are commonly categorized as suffering from diastolic heart failure. The left ventricle (LV) remodels its structure and function to adapt to pathophysiological changes in geometry and loading conditions, which in turn can alter the passive ventricular mechanics. In order to better understand passive ventricular mechanics, a LV finite element (FE) model was customized to geometric data segmented from in vivo tagged magnetic resonance images (MRI) data and myofibre orientation derived from ex vivo diffusion tensor MRI (DTMRI) of a canine heart using nonlinear finite element fitting techniques. MRI tissue tagging enables quantitative evaluation of cardiac mechanical function with high spatial and temporal resolution, whilst the direction of maximum water diffusion in each voxel of a DTMRI directly corresponds to the local myocardial fibre orientation. Due to differences in myocardial geometry between in vivo and ex vivo imaging, myofibre orientations were mapped into the geometric FE model using host mesh fitting (a free form deformation technique). Pressure recordings, temporally synchronized to the tagging data, were used as the loading constraints to simulate the LV deformation during diastole. Simulation of diastolic LV mechanics allowed us to estimate the stiffness of the passive LV myocardium based on kinematic data obtained from tagged MRI. Integrated physiological modelling of this kind will allow more insight into mechanics of the LV on an individualized basis, thereby improving our understanding of the underlying structural basis of mechanical dysfunction under pathological conditions.
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