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Automatic multi-dimensional intravascular ultrasound image segmentation method

机译:自动多维血管内超声图像分割方法

摘要

The present invention generally relates to intravascular ultrasound (IVUS) image segmentation methods, and is more specifically concerned with an intravascular ultrasound image segmentation method for characterizing blood vessel vascular layers. The proposed image segmentation method for estimating boundaries of layers in a multi-layered vessel provides image data which represent a plurality of image elements of the multi-layered vessel. The method also determines a plurality of initial interfaces corresponding to regions of the image data to segment and further concurrently propagates the initial interfaces corresponding to the regions to segment. The method thereby allows to estimate the boundaries of the layers of the multi-layered vessel by propagating the initial interfaces using a fast marching model based on a probability function which describes at least one characteristic of the image elements.
机译:本发明总体上涉及血管内超声(IVUS)图像分割方法,并且更具体地涉及用于表征血管血管层的血管内超声图像分割方法。所提出的用于估计多层容器中的层的边界的图像分割方法提供了表示多层容器的多个图像元素的图像数据。该方法还确定与要分割的图像数据的区域相对应的多个初始界面,并且进一步同时传播与要分割的区域相对应的初始界面。从而,该方法允许通过使用基于描述图像元素的至少一个特征的概率函数的快速行进模型传播初始界面来估计多层容器的层的边界。

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