Normalized cuts in 3-D for spinal MRI segmentation
Normalized cuts in 3-D for spinal MRI segmentation
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DOI：
10.1109/tmi.2003.819929
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发表时间：
2004-01-01
影响因子：
10.6
通讯作者：
Majumdar, S
中科院分区：
文献类型：
--
作者：
Carballido-Gamio, J;Belongie, SJ;Majumdar, S
医学图像分割已经成为对人体器官及其功能图像进行定量分析必不可少的过程。归一化切割(NCut)是一种谱图理论方法，它很容易接受不同特征的组合用于图像分割。对于不同于医学成像的应用，利用Nystrom近似方法成功地缓解了NCut带来的计算需求。本文讨论了NCut结合Nystrom逼近方法在脊柱矢状面T1加权磁共振图像中分割椎体的应用。采用各向异性扩散算法对磁共振图像进行预处理，选取三维局部亮度直方图作为分割特征。给出了分割的结果以及这一领域的局限性和挑战。
Segmentation of medical images has become an indispensable process to perform quantitative analysis of images of human organs and their functions. Normalized Cuts (NCut) is a spectral graph theoretic method that readily admits combinations of different features for image segmentation. The computational demand imposed by NCut has been successfully alleviated with the Nystrom approximation method for applications different than medical imaging. In this paper we discuss the application of NCut with the Nystrom approximation method to segment vertebral bodies from sagittal T1-weighted magnetic resonance images of the spine. The magnetic resonance images were preprocessed by the anisotropic diffusion algorithm, and three-dimensional local histograms of brightness was chosen as the segmentation feature. Results of the segmentation as well as limitations and challenges in this area are presented.