MR拡散テンソル画像を用いた神経線維追跡における曲率偏差最小化探索法 A Curvature Deviation Minimization Searching Method for MR Diffusion Tensor Tractography

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抄録

Recently, magnetic resonance diffusion tensor imaging (MR-DTI) has been used to analyze the structure and the function of the human brain. MR-DTI is a noninvasive method of measuring the diffusion phenomenon of water molecules in vivo. Tractographies using MR-DTI give the information of nerve fibers. They are promising for diagnoses of the disorder that has abnormalities in cerebral nerve fibers and analyses of functional connectivity among activated areas. In general, tractographies are able to track nerve fibers between near areas. However, it is difficult to track nerve fibers between distant areas due to partial volume effect in nerve fiber crossing areas. In this paper, we proposed a new tractography by searching minimum curvature deviation in fiber crossing areas using the trajectory of before and after the crossing areas. First, the method was evaluated by simulation images that illustrate the bilateral visual cortex through the corpus callosum. Subsequently, the method was applied to the real data. The results demonstrate the usefulness of the proposed method.

収録刊行物

  • 生体医工学

    生体医工学 49(1), 139-147, 2011

    一般社団法人 日本生体医工学会

各種コード

  • NII論文ID(NAID)
    130004947415
  • NII書誌ID(NCID)
    AA11633569
  • 本文言語コード
    JPN
  • ISSN
    1347443X
  • NDL 記事登録ID
    11111004
  • NDL 雑誌分類
    ZS18(科学技術--医学--医用機械・診断学・検査技術)
  • NDL 請求記号
    Z19-108
  • データ提供元
    NDL  J-STAGE 
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