• DocumentCode
    698819
  • Title

    Hybrid segmentation of the hippocampus in MR images

  • Author

    Wei Wei Lee ; Richardson, Iain ; Ken Gow ; Yafan Zhao ; Staff, Roger

  • Author_Institution
    Robert Gordon Univ., Aberdeen, UK
  • fYear
    2005
  • fDate
    4-8 Sept. 2005
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Segmentation and visualisation of the hippocampus can assist with early detection and intervention for a number of brain diseases. This paper describes a semi-automatic segmentation approach that produces accurate results with a significant reduction in operator effort compared with manual segmentation. A Geometric Deformable Model incorporates global constraints to solve many of the problems associated with previous methods. The results of our hybrid segmentation model show a good correspondence with manual segmentation by an expert operator.
  • Keywords
    biomedical MRI; brain; diseases; image segmentation; medical disorders; medical image processing; neurophysiology; MR imaging; brain diseases; geometric deformable model; hippocampus segmentation; hippocampus visualisation; hybrid segmentation model; semiautomatic segmentation approach; Brain modeling; Computational modeling; Deformable models; Hippocampus; Image segmentation; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2005 13th European
  • Conference_Location
    Antalya
  • Print_ISBN
    978-160-4238-21-1
  • Type

    conf

  • Filename
    7078413