基于图像的心室纤维方向估计用于患者特异性模拟。
Image-based estimation of ventricular fiber orientations for patient-specific simulations.
作者信息
Vadakkumpadan Fijoy, Arevalo Hermenegild, Ceritoglu Can, Miller Michael, Trayanova Natalia
机构信息
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1672-5. doi: 10.1109/IEMBS.2011.6090481.
Patient-specific simulation of heart (dys)function aimed at personalizing cardiac therapy are hampered by the absence of in vivo imaging technology for clinically acquiring myocardial fiber orientations. In this research, we develop a methodology to predict ventricular fiber orientations of a patient heart, given the geometry of the heart and an atlas. We test the methodology by comparing the estimated fiber orientations with measured ones, and by quantifying the effect of the estimation error on outcomes of electrophysiological simulations, in normal and failing canine hearts. The new insights obtained from the project will pave the way for the development of patient-specific models of the heart that can aid physicians in personalized diagnosis and decisions regarding electrophysiological interventions.
旨在实现心脏治疗个性化的针对特定患者的心脏（功能失调）功能模拟，因缺乏用于临床获取心肌纤维方向的体内成像技术而受到阻碍。在本研究中，我们开发了一种方法，在已知心脏几何形状和图谱的情况下预测患者心脏的心室纤维方向。我们通过将估计的纤维方向与测量的纤维方向进行比较，以及通过量化估计误差对正常和衰竭犬心电生理模拟结果的影响，来测试该方法。从该项目中获得的新见解将为开发特定患者的心脏模型铺平道路，这些模型可帮助医生进行个性化诊断以及有关电生理干预的决策。
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