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Model-based segmentation of the left main coronary bifurcation from 2D angiograms

机译:基于二维血管造影的左主冠状动脉分叉的基于模型的分割

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This paper deals with the identification of the left main coronary bifurcation (LMB) in 2D angiograms. We resort to a generic 3D model of the LMB that is projected in the proper angulation to retrieve the expected 2D skeleton of the LMB in the considered image. We derive from it an efficient discriminating filter that allows detecting the LMB, while being robust to anatomical variations. We demonstrate the potential of the method over a large database of 120 angiographic sequences from 15 patients. We also propose a method extension that exploits not only the present angiography, but also the previous ones, as acquired in the course of the exam.
机译:本文涉及二维血管造影照片中左主冠状动脉分叉(LMB)的识别。我们求助于LMB的通用3D模型,该模型以适当的角度投影,以在考虑的图像中检索LMB的预期2D骨架。我们从中得出一个有效的区分滤波器,该滤波器可以检测LMB,同时对解剖变异具有鲁棒性。我们证明了该方法在来自15位患者的120个血管造影序列的大型数据库中的潜力。我们还提出了一种方法扩展,它不仅可以利用当前的血管造影技术,还可以利用在检查过程中获得的先前的血管造影技术。

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