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Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image

机译:基于内容的脑扩散磁共振图像检索

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摘要

The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images to explore the use of Diffusion Tensor Imaging (DTI) - derived parameters. The propagation graph algorithm is proposed for the query-centric retrieval of dMR subjects and the fusion of different features. The proposed framework was evaluated with ADNI database with 233 baseline dMR images. The preliminary results show that the proposed retrieval framework is able to retrieve subjects with similar neurodegenerative patterns.
机译:基于内容的扩散磁共振(dMR)成像数据检索将能够对具有dMR图像的大型数据库进行广泛的分析。本文提出了基于内容的dMR图像检索框架,以探索扩散张量成像(DTI)的用途)-派生参数。提出了一种传播图算法,用于以查询为中心的dMR主题检索和不同特征的融合。所提出的框架是使用具有233个基线dMR图像的ADNI数据库进行评估的。初步结果表明,提出的检索框架能够检索具有相似神经退行性模式的受试者。

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  • 来源
  • 会议地点 Vienna(AT)
  • 作者单位

    Biomedical Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, Sydney, Australia;

    Biomedical Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, Sydney, Australia;

    Biomedical Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, Sydney, Australia;

    Surgical Planning Laboratory (SPL), Brigham Women's Hospital, Harvard Medical School, Boston, USA;

    Surgical Planning Laboratory (SPL), Brigham Women's Hospital, Harvard Medical School, Boston, USA;

    Biomedical Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, Sydney, Australia;

    Biomedical Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, Sydney, Australia,Med-X Research Institute, Shanghai Jiaotong University, Shanghai, China;

    Biomedical Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, Sydney, Australia,Surgical Planning Laboratory (SPL), Brigham Women's Hospital, Harvard Medical School, Boston, USA;

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  • 正文语种 eng
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  • 入库时间 2022-08-26 14:07:24

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