GraphBased Hierarchical Clustering Method for Automatic Brain MR Image Segmentation 


ZHANG Jingdan

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GraphBased Hierarchical Clustering Method for Automatic Brain MR Image Segmentation 

更新时间：2023-12-11

- GraphBased Hierarchical Clustering Method for Automatic Brain MR Image Segmentation 
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 49, Issue 2, Pages: 53-59(2010)
- 作者机构：
  
  1. 中山大学数学与计算科学学院,广东,广州,510275
  2. 
  3. 深圳信息职业技术学院电子通信技术系,广东,深圳,518029
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010，
  
  Published Online：25 March 2010，
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ZHANG Jingdan. GraphBased Hierarchical Clustering Method for Automatic Brain MR Image Segmentation . [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 49(2):53-59(2010)
DOI：

ZHANG Jingdan. GraphBased Hierarchical Clustering Method for Automatic Brain MR Image Segmentation . [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 49(2):53-59(2010) DOI：

摘要

提出一种基于图的层次聚类算法实现脑组织磁共振图像的自动分割。首先，采用基于图的分割方法对脑组织MR图像进行初始分割。由于脑组织MR图像各类组织结构分布复杂，尤其是脑脊液和灰质区域细节信息丰富、结构变化多样，分割结果中存在过分割现象。因此，利用对偶树复小波变换高频子带信息构造基于图的分割方法中参数k的自适应取值函数，避免图像平滑区域分割后产生大量小区域。然后，以层次聚类算法合并分割得到的小区域，解决基于图的方法分割脑组织MR图像中存在的过分割问题。最后，通过大量真实脑组织MR图像实验证明该方法在脑组织MR图像分割中的准确性和稳定性。

Abstract

A graphbased hierarchical clustering (GBHC) method for brain MR image segmentation is presented. Firstly

the standard graphbased method is applied to produce a coarse segmentation of brain MR image. However

the segmentation result of the graphbased method is oversegmentation because of the complicated structure of brain. So

we apply an adaptive function to control the value of parameter kin the graphbased method

which integrates the information from the highfrequency subbands of dualtree complex wavelet transform. Then

the hierarchical clustering method is used to merge the oversegmented regions in the segmentation result. The method is validated by extensive experiments using real T1weighted MR images

and compared with the stateoftheart algorithms.

关键词

基于图的算法对偶树复小波变换图像分割脑组织MR图像层次聚类算法

Keywords

graphbased methoddualtree complex wavelet transformimage segmentationbrain MR imagehierarchical clustering method

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