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论文:2014,Vol:32,Issue(3):417-422 |
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引用本文： |
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苏坡, 杨建华, 薛忠. 基于超像素的多模态MRI脑胶质瘤分割[J]. 西北工业大学 |
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Su Po, Yang Jianhua, Xue Zhong. Segmentation of Glioblastoma Multiforme from Multimodal MR Images Based on Superpixel[J]. Northwestern polytechnical university |
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| 基于超像素的多模态MRI脑胶质瘤分割 |
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| 苏坡1, 杨建华1, 薛忠2 |
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1. 西北工业大学 自动化学院, 陕西 西安 710129;
2. Houston Methodist 研究所, 美国 休斯顿 77030 |
| 摘要: |
| 为了提高脑胶质瘤分割的精度和鲁棒性,提出了一种基于超像素的多模态MRI脑胶质瘤分割算法。首先,通过使用带加权距离的局部k-均值聚类算法,把多模态MRI过分割成一系列均匀、紧凑、并精确吻合图像边界的超像素(superpixel)。然后应用基于序贯概率比假设检验的动态区域合并算法对产生的超像素逐步合并,形成几十个具有统计意义的区域。最后对这些区域进行后处理以得到GBM各个组织的分割结果。应用该算法对15个GBM病人的多模态MRI数据进行了分割实验,结果表明,相对于基于FCM算法和归一化割(Ncut)算法,文中提出的分割算法更加精确。 |
| 关键词:
脑胶质瘤
图像分割
超像素
多模态核磁共振图像
区域合并
序贯概率比检验
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| Segmentation of Glioblastoma Multiforme from Multimodal MR Images Based on Superpixel |
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| Su Po1, Yang Jianhua1, Xue Zhong2 |
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1. Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710129, China;
2. Houston Methodist Ｒesearch Institute, Houston TX, 77030, USA |
| Abstract: |
| A superpixel-based segmentation method is proposed in this paper to improve the accuracy and robustness of GBM segmentation. In this approach, first, a local k-means clustering utilizing weighted distance is developed to over-segment the MR images into a series of superpixels that are not only homogeneous, compact but also match image boundaries. Then, a dynamic region merging algorithm based on sequential probability ratio test (SPRT) is performed to progressively integrate the neighboring superpixels. Finally, the GBM tissues are extracted using clustering algorithm. It is worth noting that the region merging algorithm used in this paper can preserve cer-tain global properties, so that the results are neither over-merged nor under-merged. Experiments based on the ima-ges collected from 15 GBM patients were carried out to evaluate our proposed algorithm. Comparative results demon-strated that the proposed algorithm outperformed the FCM-based and the normalized cut (Ncut) algorithms. |
| Key words:
GBM
image segmentation
superpixel
multimodal MR images
region merging
SPRT
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| 收稿日期: 2013-10-10
修回日期:
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| DOI: |
| 基金项目: 美国国立卫生研究院(NIH)基金(5G08LM893)资助 |
| 通讯作者:
Email： |
| 作者简介: 苏坡(1985-),西北工业大学博士研究生,主要从事医学图像处理及模式识别研究。
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| 相关功能 |
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| 作者相关文章 |
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| 苏坡 在本刊中的所有文章 |
| 杨建华 在本刊中的所有文章 |
| 薛忠 在本刊中的所有文章 |
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