Ex Vivo Methods for Informing Computational Models of the Mitral Valve

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• 作者：Charles H. Bloodworth IV ; Eric L. Pierce…
• 关键词：Mitral regurgitation ; Mitral repair ; Simulation ; Cardiovascular ; Imaging ; Micro ; computed tomography
• 刊名：Annals of Biomedical Engineering
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：45
• 期：2
• 页码：496-507
• 全文大小：
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Biomedicine, general; Biomedical Engineering; Biological and Medical Physics, Biophysics; Classical Mechanics; Biochemistry, general;
• 出版者：Springer US
• ISSN：1573-9686
• 卷排序：45

文摘

Computational modeling of the mitral valve (MV) has potential applications for determining optimal MV repair techniques and risk of recurrent mitral regurgitation. Two key concerns for informing these models are (1) sensitivity of model performance to the accuracy of the input geometry, and, (2) acquisition of comprehensive data sets against which the simulation can be validated across clinically relevant geometries. Addressing the first concern, ex vivo micro-computed tomography (microCT) was used to image MVs at high resolution (~40 micron voxel size). Because MVs distorted substantially during static imaging, glutaraldehyde fixation was used prior to microCT. After fixation, MV leaflet distortions were significantly smaller (p < 0.005), and detail of the chordal tree was appreciably greater. Addressing the second concern, a left heart simulator was designed to reproduce MV geometric perturbations seen in vivo in functional mitral regurgitation and after subsequent repair, and maintain compatibility with microCT. By permuting individual excised ovine MVs (n = 5) through each state (healthy, diseased and repaired), and imaging with microCT in each state, a comprehensive data set was produced. Using this data set, work is ongoing to construct and validate high-fidelity MV biomechanical models. These models will seek to link MV function across clinically relevant states.