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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/18574


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18574


    Title: Application of Self-Organizing Map (SOM) for Cerebral Cortex Reconstruction
    Authors: 莊政宏;Chuang, Cheng-Hung
    Contributors: 資訊工程學系
    Keywords: self-organizing map, surface reconstruction, cerebral cortex, cortical thickness, layered distance map.
    Date: 2007-03
    Issue Date: 2012-11-26 13:55:27 (UTC+8)
    Abstract: This paper presents the application of a
    self-organizing map (SOM) model for the reconstruction of
    cerebral cortex from MRI images. The cerebral cortex is an
    important tissue for many brain science or medicine related
    researches. Since it is difficult to extract the highly folded and
    buried cortical surface, we apply the SOM model to deform the
    easily extracted white matter surface on a layered distance map
    to obtain the cortical surface. The layered distance map is
    calculated according to the extracted white matter surface and
    segmented gray matter. The proposed method can reconstruct
    the proper cortical surface and thus make the measurement of
    cortical thickness easy. The simulations on T1-weighted MRI
    images show that the proposed algorithm is robust to
    reconstruct the cerebral cortex.
    Relation: International Journal of Computational Intelligence Research
    Appears in Collections:[資訊工程學系] 期刊論文

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