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Inverse Problem for Color Doppler Ultrasound-Assisted Intracardiac Blood Flow Imaging

机译:彩色多普勒超声辅助心内血流成像的反问题

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摘要

For the assessment of the left ventricle (LV), echocardiography has been widely used to visualize and quantify geometrical variations of LV. However, echocardiographic image itself is not sufficient to describe a swirling pattern which is a characteristic blood flow pattern inside LV without any treatment on the image. We propose a mathematical framework based on an inverse problem for three-dimensional (3D) LV blood flow reconstruction. The reconstruction model combines the incompressible Navier-Stokes equations with one-direction velocity component of the synthetic flow data (or color Doppler data) from the forward simulation (or measurement). Moreover, time-varying LV boundaries are extracted from the intensity data to determine boundary conditions of the reconstruction model. Forward simulations of intracardiac blood flow are performed using a fluid-structure interaction model in order to obtain synthetic flow data. The proposed model significantly reduces the local and global errors of the reconstructed flow fields. We demonstrate the feasibility and potential usefulness of the proposed reconstruction model in predicting dynamic swirling patterns inside the LV over a cardiac cycle.
机译:为了评估左心室(LV),超声心动图已广泛用于可视化和量化LV的几何变化。然而,超声心动图图像本身不足以描述旋流模式,该旋流模式是LV内部的特征性血流模式,而对图像没有任何处理。我们提出了基于逆问题的三维(​​3D)LV血流重建数学框架。重建模型将不可压缩的Navier-Stokes方程与来自正向模拟(或测量)的合成流数据(或彩色多普勒数据)的单向速度分量结合在一起。此外,从强度数据中提取随时间变化的LV边界,以确定重建模型的边界条件。为了获得合成血流数据,使用流体-结构相互作用模型进行了心脏内血流的正向模拟。所提出的模型显着减少了重建流场的局部和整体误差。我们证明了所提出的重建模型在预测心动周期内左心室内部动态涡旋模式中的可行性和潜在的实用性。

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