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Heuristic Initialization for Active Contour Models in CT/MRI Image Processing

机译:CT / MRI图像处理中主动轮廓模型的启发式初始化

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It is an important segmentation approach of CT/MRI images to automatically extract contours in every slice using active contour models. The key point of the segmentation approach is to automatically construct initial contours for active contour models because any active contour model is sensitive to its initial contour. This paper presents an algorithm to construct such initial contours using a heuristic method. Assume that the contour in previous slice (previous contour) is accurate. The contour in the current slice (current contour) is constructed according to the previous contour using the way: Recognition and link of edge points of tissues according to the previous contour. The contour linking edge points is used as the initial contour of the distance regularized level set evolution (DRLSE) method and then an accurate contour can be extracted in the current slice.
机译:使用活动轮廓模型自动提取每个切片中的轮廓是CT / MRI图像的重要分割方法。分割方法的关键是为活动轮廓模型自动构造初始轮廓,因为任何活动轮廓模型都对其初始轮廓敏感。本文提出了一种使用启发式方法构造此类初始轮廓的算法。假设先前切片中的轮廓(先前轮廓)是准确的。当前切片中的轮廓(当前轮廓)使用以下方式根据先前的轮廓构造:根据先前的轮廓识别和链接组织的边缘点。轮廓链接边缘点用作距离正则化水平集演化(DRLSE)方法的初始轮廓,然后可以在当前切片中提取准确的轮廓。

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