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首页> 外文期刊>Medical image analysis >Cardiac function estimation from MRI using a heart model and data assimilation: advances and difficulties.
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Cardiac function estimation from MRI using a heart model and data assimilation: advances and difficulties.

机译:使用心脏模型和数据同化从MRI进行心脏功能估计:进展和困难。

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摘要

In this paper, we present a framework to estimate local ventricular myocardium contractility using clinical MRI, a heart model and data assimilation. First, we build a generic anatomical model of the ventricles including muscle fibre orientations and anatomical subdivisions. Then, this model is deformed to fit a clinical MRI, using a semi-automatic fuzzy segmentation, an affine registration method and a local deformable biomechanical model. An electromechanical model of the heart is then presented and simulated. Finally, a data assimilation procedure is described, and applied to this model. Data assimilation makes it possible to estimate local contractility from given displacements. Presented results on fitting to patient-specific anatomy and assimilation with simulated data are very promising. Current work on model calibration and estimation of patient parameters opens up possibilities to apply this framework in a clinical environment.
机译:在本文中,我们提出了使用临床MRI,心脏模型和数据同化估计局部心室心肌收缩力的框架。首先,我们建立了一个心室的通用解剖模型,包括肌肉纤维方向和解剖细分。然后,使用半自动模糊分割,仿射配准方法和局部可变形生物力学模型,将该模型变形以适合临床MRI。然后提出并模拟了心脏的机电模型。最后,描述了数据同化过程,并将其应用于该模型。数据同化可以根据给定的位移估算局部收缩率。提出的关于适合患者特定解剖结构和同化的模拟数据的结果非常有前途。当前有关模型校准和患者参数估计的工作为在临床环境中应用该框架开辟了可能性。

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