• DocumentCode
    2973286
  • Title

    A deformable region model for locating the boundary of brain tumor

  • Author

    Zhu, Hui ; Chan, Francis H Y ; Lam, F.K. ; Poon, Paul W F

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
  • Volume
    1
  • fYear
    1995
  • fDate
    20-25 Sep 1995
  • Firstpage
    411
  • Abstract
    We propose a new deformable region model to represent a brain tumor in MRI, and use a shrinking-growing method to locate its boundary from a designated initial plan. The shrinking-growing process maximizes the area of an object under the condition that the object and its boundary have the same gray level distributions. Compared to the deformable contour models (also called active contour model, or snake), our method dose not require the initial plan to be in as close proximity to the boundary as in contour models
  • Keywords
    biomedical NMR; brain; edge detection; iterative methods; medical image processing; MRI; brain tumor boundary location; deformable region model; gray level distributions; initial plan; shrinking-growing method; Active contours; Biomedical imaging; Brain modeling; Deformable models; Design engineering; Image segmentation; Neoplasms; Physiology; Pixel; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.575175
  • Filename
    575175