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Motion tracking in MRI by Harmonic State Model: Case of heart left ventricle

机译:谐波状态模型在MRI中的运动跟踪:心脏左心室病例

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We have developed a new method for tracking the closed contour which is based on a harmonic state model (HSM). It tracks the heart’s left ventricle (LV) throughout cardiac cycle. This method provides trajectories of points about the contour of the LV, crucial information in cardiac motion analysis. The state vector associated with HSM provides a robust and accurate modeling of contour closed. We rely on the state vector and we use it as local descriptor of region of the LV. This local description enables us to obtain the characteristic points of the contour. Owing the fact that, only light movements between cycle’s instants exists. The mapping of these points by the LCSS is relevant. The repetition of this process allows us to build LV trajectories, but also, for further information on its movement, bull eye graphs. The application of the simulation method gives the best results. The same is true on 2D plans sequences extracted from real cine-MRI volume. The trajectories calculated, the generated graphics, allow us to easily observe the difference between a healthy and a sick heart.
机译:我们已经开发了一种基于谐波状态模型(HSM)的跟踪闭合轮廓的新方法。它在整个心动周期中追踪心脏的左心室(LV)。该方法提供了关于LV轮廓的点的轨迹,这是心脏运动分析中的关键信息。与HSM相关的状态向量可为轮廓闭合提供强大而准确的建模。我们依赖状态向量,并将其用作LV区域的局部描述符。这种局部描述使我们能够获得轮廓的特征点。由于存在这样的事实,因此仅存在周期之间的轻微移动。 LCSS对这些点的映射是相关的。重复此过程可以使我们建立左心室的轨迹,但是,关于其运动的更多信息,还可以使用牛眼图。仿真方法的应用给出了最好的结果。从实际电影MRI体积中提取的2D平面序列也是如此。计算出的轨迹和生成的图形使我们能够轻松观察到健康和患病心脏之间的差异。

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