• DocumentCode
    2019885
  • Title

    A useful approach towards 3D representation of brain abnormality from its 2D MRI slides with a volumetric exclamation

  • Author

    Roy, Sudipta ; Sadhu, Shayak ; Bandyopadhyay, Samir Kumar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Acad. of Technol., Adisaptagram, India
  • fYear
    2015
  • fDate
    7-8 Feb. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the three-dimensional (3D) construction of brain tumour using several slides of magnetic resonance imaging (MRI) has always been a keen interest for diagnosis and for research purpose. In this paper we propose a new approach for three-dimensional construction and its volume calculation from a series of two dimensional (2D) MRI images. Each of the abnormality detected MRI image are successively pushed into a stack to construct a 3-dimensional cube inside which it contains the 3-dimentional constructed brain abnormality. The volume of abnormality is calculated from area of each MRI slides with their inter slice distance. This computer aided diagnosis (CAD) system tool helps the neurosurgeon to take decision during their surgical planning.
  • Keywords
    CAD; biomedical MRI; brain; medical image processing; tumours; 2D MRI images; 2D MRI slide; 3D brain abnormality representation; 3D brain tumour construction; abnormality volume; computer aided diagnosis system tool; inter slice distance; magnetic resonance imaging slide; surgical planning; volumetric exclamation; Estimation; Image reconstruction; Magnetic resonance imaging; Shape; Three-dimensional displays; Tumors; Volume measurement; 3D construction; Brain abnormality; MRI of brain; Segmentation; stack based; volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on
  • Conference_Location
    Hooghly
  • Print_ISBN
    978-1-4799-4446-0
  • Type

    conf

  • DOI
    10.1109/C3IT.2015.7060227
  • Filename
    7060227