中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images

文献类型:期刊论文

作者Ai, Ye; Miao, Feng; Hu, Qingmao; Li, Weifeng
刊名IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
出版日期2015
英文摘要In this paper, a novel method of high-grade brain tumor segmentation from multi-sequence magnetic resonance images is presented. Firstly, a Gaussian mixture model (GMM) is introduced to derive an initial posterior probability by fitting the fluid attenuation inversion recovery histogram. Secondly, some grayscale and region properties are extracted from different sequences. Thirdly, grayscale and region characteristics with different weights are proposed to adjust the posterior probability. Finally, a cost function based on the posterior probability and neighborhood information is formulated and optimized via graph cut. Experiment results on a public dataset with 20 high-grade brain tumor patient images show the proposed method could achieve a dice coefficient of 78%, which is higher than the standard graph cut algorithm without a probability-adjusting step or some other cost function-based methods.
收录类别SCI
原文出处http://search.ieice.org/bin/summary.php?id=e98-d_12_2250
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/9149]  
专题深圳先进技术研究院_其他
作者单位IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
推荐引用方式
GB/T 7714
Ai, Ye,Miao, Feng,Hu, Qingmao,et al. Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2015.
APA Ai, Ye,Miao, Feng,Hu, Qingmao,&Li, Weifeng.(2015).Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS.
MLA Ai, Ye,et al."Multi-Feature Guided Brain Tumor Segmentation Based on Magnetic Resonance Images".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (2015).

入库方式: OAI收割

来源:深圳先进技术研究院

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