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          <dc:title>画像変形重ね合わせ法による標準脳画像作成法の提案</dc:title>
          <dc:title xml:lang="en">A Procedure to Generate the Standard Brain Image of Transversal Sectional View using Image Registration</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>三浦, 直樹</jpcoar:creatorName>
            <jpcoar:creatorName>渡部, 彰一郎</jpcoar:creatorName>
            <jpcoar:creatorName>志田, 和人</jpcoar:creatorName>
            <jpcoar:creatorName>福田, 寛</jpcoar:creatorName>
            <jpcoar:creatorName>川添, 良幸</jpcoar:creatorName>
            <jpcoar:creatorName>清水, 俊夫</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Naoki, Miura</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Syoichirou, Watanabe</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Kazuhito, Shida</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Hiroshi, Fukuda</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Yoshiyuki, Kawazoe</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Toshio, Shimizu</jpcoar:creatorName>
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          <datacite:description descriptionType="Other">脳画像解析において標準脳画像作成は重要な課題である．本研究では複数の脳断面画像から標準脳断面画像を作成するための方法を提案する．はじめに，遺伝的アルゴリズムを用いて2枚のMR脳画像の重ね合わせ変形を行うとともに，2画像間の形状差をパラメータ化する．これを網羅的に行なうことによって，データ中から最も標準的な形状の画像を見つけ出す．そして，最も標準的な形状の画像に対して重ね合わせ変形した画像の平均濃度画像を求めることによって「標準脳断面画像」を作成する．また，本手法を発展させることによって3次元標準脳画像の作成が可能であると期待される．</datacite:description>
          <datacite:description descriptionType="Other">The generation of standard brain image is one of the most important subjects in brain image analysis. In this paper, we have developed a method that generates a standard brain image of transversal sectional view from a dataset of MR brain images. First, every pair of 2 MR images in the dataset is registered by using a genetic algorithm, and the shape difference between 2 images is parameterized in this process to select the most representative standard image. Next, we generate a standard brain image by taking an average among the images that are registered to the representative standard image. It is expected that the 3D standard brain image would be also obtained similarly by extending this method.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2000-05-12</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/33565</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10505667</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会研究報告数理モデル化と問題解決（MPS）</jpcoar:sourceTitle>
          <jpcoar:volume>2000</jpcoar:volume>
          <jpcoar:issue>38(2000-MPS-029)</jpcoar:issue>
          <jpcoar:pageStart>17</jpcoar:pageStart>
          <jpcoar:pageEnd>20</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2002-05-12</datacite:date>
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