计算机工程与应用2011，Vol.47Issue(11)：182-184,3.DOI:10.3778/j.issn.1002-8331.2011.11.051
CT系列图像的三维层次化子块生长分割
CT image segmentation based on three-dimensional hierarchical sub-block region growing.
摘要
Abstract
Segmentation of region of interest based on abdominal Computed Tomography(CT) sequences images is a crucial step in surgical planning. However,precisely carrying out this step remains a challenge.By considering the situation of keeping the wrong boundary as the liver surface,an approach for CT image segmentation based on 3D hierarchical region growing algorithm is proposed. In the approach, several seed points are selected firstly. Considering the similarity of the neighbor slices in the medical volume data,a modified 3D sub-block region growing algorithm is developed. In order to reduce the user interaction,the growing criteria are estimated automatically through investigation of the statistical characteristics in the local regions of the seed points.Experiments results show the proposed method can efficiently segment the live region from serial abdominal CT images with little user interaction.关键词
三维区域生长算法/层次化分割/肝脏/CT系列图像Key words
3D region growing algorithm/hierarchical segmentation/liver/CT image-sequences分类
信息技术与安全科学引用本文复制引用
黄展鹏,蒋世忠,鲍苏苏,黄欣喆..CT系列图像的三维层次化子块生长分割[J].计算机工程与应用,2011,47(11):182-184,3.基金项目
广东省卫生厅科研基金项目(No.A2009313) （No.A2009313）
广东省自然科学基金团队项目(No.6200171). （No.6200171）
