Villard Pierre-Frederic, Hammer Peter E, Perrin Douglas P, Del Nido Pedro J, Howe Robert D
LORIA, University of Lorraine, Inria, Nancy, France.
Harvard School of Engineering and Applied Sciences, Cambridge, MA, USA.
Int J Med Robot. 2018 Apr;14(2). doi: 10.1002/rcs.1880. Epub 2018 Jan 22.
Common surgical procedures on the mitral valve of the heart include modifications to the chordae tendineae. Such interventions are used when there is extensive leaflet prolapse caused by chordae rupture or elongation. Understanding the role of individual chordae tendineae before operating could be helpful to predict whether the mitral valve will be competent at peak systole. Biomechanical modelling and simulation can achieve this goal.
We present a method to semi-automatically build a computational model of a mitral valve from micro CT (computed tomography) scans: after manually picking chordae fiducial points, the leaflets are segmented and the boundary conditions as well as the loading conditions are automatically defined. Fast finite element method (FEM) simulation is carried out using Simulation Open Framework Architecture (SOFA) to reproduce leaflet closure at peak systole. We develop three metrics to evaluate simulation results: (i) point-to-surface error with the ground truth reference extracted from the CT image, (ii) coaptation surface area of the leaflets and (iii) an indication of whether the simulated closed leaflets leak.
We validate our method on three explanted porcine hearts and show that our model predicts the closed valve surface with point-to-surface error of approximately 1 mm, a reasonable coaptation surface area, and absence of any leak at peak systole (maximum closed pressure). We also evaluate the sensitivity of our model to changes in various parameters (tissue elasticity, mesh accuracy, and the transformation matrix used for CT scan registration). We also measure the influence of the positions of the chordae tendineae on simulation results and show that marginal chordae have a greater influence on the final shape than intermediate chordae.
The mitral valve simulation can help the surgeon understand valve behaviour and anticipate the outcome of a procedure.
心脏二尖瓣的常见外科手术包括对腱索进行调整。当因腱索断裂或延长导致广泛的瓣叶脱垂时,会采用此类干预措施。在手术前了解各个腱索的作用有助于预测二尖瓣在收缩末期是否功能正常。生物力学建模与模拟能够实现这一目标。
我们提出了一种从微型计算机断层扫描(CT)图像半自动构建二尖瓣计算模型的方法:在手动选取腱索基准点后,对瓣叶进行分割,并自动定义边界条件和加载条件。使用模拟开放框架架构(SOFA)进行快速有限元方法(FEM)模拟,以重现收缩末期瓣叶的闭合情况。我们开发了三个指标来评估模拟结果:(i)与从CT图像中提取的真实参考值的点到面误差,(ii)瓣叶的贴合表面积,以及(iii)模拟的闭合瓣叶是否泄漏的指标。
我们在三个离体猪心脏上验证了我们的方法,结果表明我们的模型预测的闭合瓣膜表面与真实表面的点到面误差约为1毫米,贴合表面积合理,并且在收缩末期(最大闭合压力)没有任何泄漏。我们还评估了模型对各种参数变化(组织弹性、网格精度以及用于CT扫描配准的变换矩阵)的敏感性。我们还测量了腱索位置对模拟结果的影响,结果表明边缘腱索对最终形状的影响大于中间腱索。
二尖瓣模拟有助于外科医生了解瓣膜行为并预测手术结果。