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基于阈值处理和活动轮廓模型的肾脏磁共振成像分割

[MRI kidney segmentation based on thresholding and active contour model].

作者信息

Wu Xiaowei, Zhou Chuanqing, Ren Qiu-Shi

机构信息

Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

Zhongguo Yi Liao Qi Xie Za Zhi. 2011 May;35(3):161-3.

Abstract

The proposed hybrid image segmentation method, based on MRI renal images, aims at extracting the cortical and medullary regions of the kidney. It incorporates the thresholding segmentation and the active contour model. To begin with, the binary mask was obtained by preprocessing and thresholding. Then, the manually set starting contour deformed like a balloon under the framework of a simplified active contour model, thus getting the initial contour of the medulla or the cortex. Finally, the initial contour deformed according to the traditional active contour model and was attracted by the actual boundary of the tissues, defined by the gradient image.

摘要

所提出的基于MRI肾脏图像的混合图像分割方法旨在提取肾脏的皮质和髓质区域。它结合了阈值分割和活动轮廓模型。首先,通过预处理和阈值处理获得二值掩码。然后,在简化的活动轮廓模型框架下,手动设置的起始轮廓像气球一样变形,从而得到髓质或皮质的初始轮廓。最后,初始轮廓根据传统的活动轮廓模型变形,并被由梯度图像定义的组织实际边界吸引。

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