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A Survey of MRI-Based Brain Tumor Segmentation Methods
  • ISSN号:1000-5900
  • 期刊名称:《湘潭大学自然科学学报》
  • 时间:0
  • 分类:TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] Q782[生物学—分子生物学]
  • 作者机构:[1]School of Information Science and Engineering, Central South University, Changsha 410083, China, [2]Department of MechanicalEngineering and Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada, [3]Department of Computer Science, University of Georgia, Boyd 420, Athens, GA 30602, USA., [4]Department of Computer Science, Georgia State University, Atlanta, GA 30302-3994, USA.
  • 相关基金:supported in part by the National Natural Science Foundation of China (Nos. 61232001 and 61379108)
中文摘要:

Brain tumor segmentation aims to separate the different tumor tissues such as active cells, necrotic core,and edema from normal brain tissues of White Matter(WM), Gray Matter(GM), and Cerebrospinal Fluid(CSF). MRIbased brain tumor segmentation studies are attracting more and more attention in recent years due to non-invasive imaging and good soft tissue contrast of Magnetic Resonance Imaging(MRI) images. With the development of almost two decades, the innovative approaches applying computer-aided techniques for segmenting brain tumor are becoming more and more mature and coming closer to routine clinical applications. The purpose of this paper is to provide a comprehensive overview for MRI-based brain tumor segmentation methods. Firstly, a brief introduction to brain tumors and imaging modalities of brain tumors is given. Then, the preprocessing operations and the state of the art methods of MRI-based brain tumor segmentation are introduced. Moreover, the evaluation and validation of the results of MRI-based brain tumor segmentation are discussed. Finally, an objective assessment is presented and future developments and trends are addressed for MRI-based brain tumor segmentation methods.

英文摘要:

Brain tumor segmentation aims to separate the different tumor tissues such as active cells, necrotic core,and edema from normal brain tissues of White Matter(WM), Gray Matter(GM), and Cerebrospinal Fluid(CSF). MRIbased brain tumor segmentation studies are attracting more and more attention in recent years due to non-invasive imaging and good soft tissue contrast of Magnetic Resonance Imaging(MRI) images. With the development of almost two decades, the innovative approaches applying computer-aided techniques for segmenting brain tumor are becoming more and more mature and coming closer to routine clinical applications. The purpose of this paper is to provide a comprehensive overview for MRI-based brain tumor segmentation methods. Firstly, a brief introduction to brain tumors and imaging modalities of brain tumors is given. Then, the preprocessing operations and the state of the art methods of MRI-based brain tumor segmentation are introduced. Moreover, the evaluation and validation of the results of MRI-based brain tumor segmentation are discussed. Finally, an objective assessment is presented and future developments and trends are addressed for MRI-based brain tumor segmentation methods.

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期刊信息
  • 《湘潭大学自然科学学报》
  • 北大核心期刊(2011版)
  • 主管单位:湖南省教育厅
  • 主办单位:湘潭大学
  • 主编:黄云清
  • 地址:湖南湘潭市
  • 邮编:411105
  • 邮箱:jxtus@xtu.edu.cn
  • 电话:0731-58292143
  • 国际标准刊号:ISSN:1000-5900
  • 国内统一刊号:ISSN:43-1066/N
  • 邮发代号:42-33
  • 获奖情况:
  • 全国优秀科技期刊,湖南省一级期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),美国数学评论(网络版),德国数学文摘,荷兰文摘与引文数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:4425