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Information Journal Paper

Title

CONSTRUCTING NEONATAL BRAIN ATLAS FOR BRAIN DEVELOPMENT ANALYSIS USING MAGNETIC RESONANCE IMAGES

Pages

  11-20

Abstract

 Introduction: Quantification of the neonatal brain development has a significant role in understanding, prevention, diagnosis and treatment of nervous system diseases during infancy. Since brain development and the its corresponding morphological changes are very fast during the first days after birth, an age-related brain atlas representing fine anatomical features of a neonatal brain is deemed necessary.Method: We constructed two NEONATAL BRAIN ATLASes for the age ranges of 39-40 and 41-42 weeks of gestation, using 16 T1-weighted magnetic resonance images (MRI) through an improved GROUP-WISE REGISTRATION paradigm.Results: Neonatal images were normalized to the newly created and previously available neonatal atlases. The similarity between these atlases and normalized images were calculated via mutual information.The mean mutual information between normalized images and the new atlases using proposed algorithm was considered optimal.Conclusion: This result confirms the greater similarity between normalized images and the atlases created through GROUP-WISE REGISTRATIONs of features retrieved from MRI.

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    APA: Copy

    MOMENI, MARYAM, ABRISHAMI MOGHADDAM, HAMID, GEREB, REINHARD, & WALLOIS, FABRICE. (2014). CONSTRUCTING NEONATAL BRAIN ATLAS FOR BRAIN DEVELOPMENT ANALYSIS USING MAGNETIC RESONANCE IMAGES. ADVANCES IN COGNITIVE SCIENCE, 16(1(61)), 11-20. SID. https://sid.ir/paper/83094/en

    Vancouver: Copy

    MOMENI MARYAM, ABRISHAMI MOGHADDAM HAMID, GEREB REINHARD, WALLOIS FABRICE. CONSTRUCTING NEONATAL BRAIN ATLAS FOR BRAIN DEVELOPMENT ANALYSIS USING MAGNETIC RESONANCE IMAGES. ADVANCES IN COGNITIVE SCIENCE[Internet]. 2014;16(1(61)):11-20. Available from: https://sid.ir/paper/83094/en

    IEEE: Copy

    MARYAM MOMENI, HAMID ABRISHAMI MOGHADDAM, REINHARD GEREB, and FABRICE WALLOIS, “CONSTRUCTING NEONATAL BRAIN ATLAS FOR BRAIN DEVELOPMENT ANALYSIS USING MAGNETIC RESONANCE IMAGES,” ADVANCES IN COGNITIVE SCIENCE, vol. 16, no. 1(61), pp. 11–20, 2014, [Online]. Available: https://sid.ir/paper/83094/en

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