摘要
针对医学影像中各个器官间的区域划分不明显,影像噪声较大等问题,本文提出了一种通过构建超像素从腹部医学影像中自动分割多个目标器官的方法。基于超像素的分割方法适应了CT图像中的各种成像条件,并且考虑了多个器官之间的相互联系与制约关系。该方法首先根据像素相关性和位置邻近性对超像素进行聚类,然后再引入器官空间结构分布图,修正多个器官的分割。实验结果表明,该分割方法能有效地完成CT影像中的各个器官分割。
In order to address the typical problems in the medical image, such as unclear boundaries between organs and loud imaging noises, we proposed a method of automatic segmentation to get the target organs' images from abdominal medical images by building super-pixels. The super-pixel based segmental method adapted to various imaging conditions in the CT image and considered the interrelationship and constraints among multiple organs. In this method, we firstly clustered the super-pixels in the light of pixel correlation and location adjacency, then the spatial distribution of organs was used to modify the segmentation process of multiple organs. The experimental results showed that this proposed method could effectively segment the organs in the abdominal CT images compared with some other traditional segmental algorithms.
引文
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