• DocumentCode
    1988215
  • Title

    Computer-aided diagnosis system of systems for neonatal and infantile brain using MR images

  • Author

    Kobashi, Syoji ; Fujimoto, Yuko ; Oshiba, Takuma ; Ogawa, Masayo ; Ando, Kumiko ; Ishikura, Reiichi ; Imawaki, Seturo ; Hirota, Shozo ; Hata, Yutaka

  • Author_Institution
    Grad. Sch. of Eng., Univ. of Hyogo, Kamigori
  • fYear
    2008
  • fDate
    2-4 June 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Computer aided diagnosis (CAD) system is an effective system of systems engineering (SoSE) in the medical field. The CAD system using medical images is constructed by integrating medical image acquisition system, medical image processing system, and clinical data analysis system, and it presents both of quantitative and qualitative data for physicians. This article proposes a CAD system for diagnosing neonatal and infantile brain disorders. The CAD system acquires intracranial images using MR scanner system, and segments the cerebral volume and surface using medical image processing systems, and produces cerebral volume and area, and 3-D rendering of cerebral surface. Especially, this article proposes medical image processing systems based on expert knowledge systems for neonatal/infantile brain MR images. To validate the proposed CAD system, it has been applied to three neonatal and five infantile MR images.
  • Keywords
    biomedical MRI; brain; image segmentation; medical disorders; medical expert systems; medical image processing; MR images; cerebral surface; clinical data analysis system; computer-aided diagnosis system; expert knowledge systems; infantile brain disorders; medical image acquisition system; medical image processing system; neonatal brain disorders; system of systems engineering; Biomedical engineering; Biomedical image processing; Biomedical imaging; Computer aided diagnosis; Data analysis; Image segmentation; Medical diagnostic imaging; Pediatrics; Rendering (computer graphics); Systems engineering and theory; Brain disorders; Cerebrum; Image segmentation; Infant; Magnetic Resonance Images; Neonate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering, 2008. SoSE '08. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2172-5
  • Electronic_ISBN
    978-1-4244-2173-2
  • Type

    conf

  • DOI
    10.1109/SYSOSE.2008.4724155
  • Filename
    4724155