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3D Reconstruction of Coronary Arteries from Dynamic CAG Image Sequences

机译:从动态CAG图像序列对冠状动脉进行3D重建

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A method based on 3D active contour model to sequentially reconstruct vascular axes from single-plane X-ray coronary angiographic (CAG) sequences acquired from two approximately orthogonal views is presented in this paper. The deformation energy of the model combines intrinsic property of the curve and image data with a priori knowledge of coronary arterial configuration and dynamics. 2D extraction, 3D reconstruction and tracking of arterial axes are synchronously implemented through active contour model deforming directly in space. Through introducing a motion model into the energy term, the arterial motion field between consecutive time-points can also be quantitatively estimated.
机译:本文提出了一种基于3D主动轮廓模型的方法,该方法可从从两个近似正交的视图获取的单平面X射线冠状动脉血管造影(CAG)序列顺序重建血管轴。该模型的变形能量将曲线和图像数据的固有属性与冠状动脉构型和动力学的先验知识结合在一起。通过主动轮廓模型直接在空间中变形,可以同步执行2D提取,3D重建和动脉轴跟踪。通过将运动模型引入能量项,还可以定量地估计连续时间点之间的动脉运动场。

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