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3D Heart Motion from Single-Plane Angiography of the Coronary Vasculature: a Model-Based Approach

机译:冠状血管单平面血管造影术的3D心脏运动:基于模型的方法

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In order to complete a thorough examination of a patient heart muscle, physicians practice two common invasive procedures: the ventriculography, which allows the determination of the ejection fraction, and the coronarog-raphy, giving among other things, information on stenosis of arteries. We propose a method that allows the determination of a contraction index similar to ejection fraction, using only single-plane coronarography. Our method first reconstructs in 3D, selected points on the angiogram, using a 3D model devised from data published by Dodge et al. We then follow the point displacements through a complete heart contraction cycle. The objective function, minimizing the RMS distances between the angiogram and the model, relies on affine transformations, i.e. translation, rotation and isotropic scaling. We validate our method on simulated projections using cases from Dodge et al. data. In order to avoid any bias, a leave-one-out strategy was used, which excludes the reference case when constructing the 3D coronary heart model. The simulated projections are created by transforming the reference case, with scaling, translation and rotation transformations, and by adding random 3D noise for each frame in the contraction cycle. Comparing the true scaling parameters to the reconstructed sequence, our method is quite robust (R~2 = 96.6%, P < 1%), even when noise error level is as high as 1 cm. Using 10 clinical cases we then proceeded to reconstruct the contraction sequence for a complete cardiac cycle starting at end-diastole. A simple heart contraction mathematical model permitted us to link the measured ejection fraction of the different cases to the maximum heart contraction amplitude (R~2 = 57% with P < 1%) determined by our method.
机译:为了完成对患者心肌的彻底检查,医生实行了两种常见的侵入性程序:心室造影术(可确定射血分数)和冠状动脉造影术(其中包括有关动脉狭窄的信息)。我们提出一种仅使用单平面冠状动脉造影就可以确定类似于射血分数的收缩指数的方法。我们的方法首先使用从Dodge等人发布的数据设计的3D模型以3D模式重建血管造影照片上的选定点。然后,我们在完整的心脏收缩周期中跟踪点位移。最小化血管造影照片与模型之间RMS距离的目标函数依赖于仿射变换,即平移,旋转和各向同性缩放。我们使用Dodge等人的案例验证了我们在模拟投影上的方法。数据。为了避免任何偏差,使用了留一法的策略,该策略排除了在构建3D冠状动脉心脏模型时的参考案例。通过对参考案例进行变换,缩放,平移和旋转变换,以及在收缩周期中为每个帧添加随机3D噪声,可以创建模拟投影。将真实的比例缩放参数与重构序列进行比较,即使噪声误差水平高达1 cm,我们的方法也非常可靠(R〜2 = 96.6%,P <1%)。然后,使用10个临床病例,我们开始从舒张末期开始重建完整的心动周期的收缩序列。一个简单的心脏收缩数学模型使我们能够将不同病例的测得的射血分数与我们的方法确定的最大心脏收缩幅度(R〜2 = 57%,P <1%)联系起来。

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