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3D echographic data segmentation carotid artery turbulences mapping by Doppler velocimetry by a common approach based on calculus of variations

机译:多普勒测速基于变化演算的常见方法,多普勒测速映射的呼吸数据分割与颈动脉动脉湍流

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The DOLPHINS project is supported in part by the 4th European RTD Framework Program, and deals with echographic applications dedicated to arterial walls and plaque segmentation, plaque motion and degree of stenoses analysis. For this purpose, we have adapted geodesic active contours methods for arterial walls segmentation, to characterize Stenose severity with regularized High resolution Doppler spectrum analysis by turbulences mapping from a Doppler spectral width measurement. The original contribution of our approach consits in using the same calculus of variations framework for image segmentation and Doppler velocimetry. We prove that we can, by analogy, find the equivalent Mean curvature flow equation used for geodesic active contours, for Doppler analysis by considering the complex autoregressive polynomial as a closed plane curve immersed in the oriented Euclidean Plane.
机译:海豚项目部分由第四欧洲RTD框架计划提供支持,并涉及专用于动脉墙和斑块分割,斑块运动和狭窄程度分析的回声应用。为此目的,我们对动脉壁分割进行了改造的测地源轮廓方法,以通过从多普勒光谱宽度测量测定的湍流绘图的正则化的高分辨率多普勒频谱分析来表征令人稳定性的严重性。我们方法的原始贡献是利用相同的图像分割和多普勒测速器的变化框架进行差异。我们证明我们可以通过类比找到用于测地有源轮廓的等效平均曲率,用于多普勒分析,通过考虑复杂的自回归多项式作为浸入定向的欧几里德平面中的闭合平面曲线。

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