Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties
Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties
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DOI：
10.1016/j.media.2006.04.002
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发表时间：
2006-08-01
影响因子：
10.9
通讯作者：
Razavi, R.
中科院分区：
文献类型：
--
作者：
Sermesant, M.;Moireau, P.;Razavi, R.
在本文中，我们提出了一个框架，估计局部心室心肌收缩力使用临床MRI，心脏模型和数据同化。首先，我们建立了一个通用的解剖模型的心室，包括肌纤维的方向和解剖细分。然后，该模型进行变形，以适应临床MRI，使用半自动模糊分割，仿射配准方法和局部变形的生物力学模型。然后提出和模拟心脏的机电模型。最后，一个数据同化程序的描述，并应用到这个模式。数据同化使得有可能从给定的位移估计局部收缩性。提出的结果拟合患者特定的解剖结构和模拟数据同化是非常有前途的。目前的工作模型校准和估计患者参数开辟了可能性，在临床环境中应用这个框架。(C)2006 Elsevier B.V.保留所有权利。
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. (C) 2006 Elsevier B.V. All rights reserved.