• DocumentCode
    708150
  • Title

    Comparison of active contour and fast marching methods of hippocampus segmentation

  • Author

    Al Zaben, Naim ; Madusanka, Nuwan ; Al Shdefat, AlaaDdin ; Heung-Kook Choi

  • Author_Institution
    Dept. of Health Sci. & Technol., Inje Univ., Gimhae, South Korea
  • fYear
    2015
  • fDate
    7-9 April 2015
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    The hippocampus is a part of the limbic system and plays an important role in long-term memory and spatial navigation. As part of hippocampal imaging studies, the region of the hippocampus is usually segmented manually, which is a time-consuming process. Here, we describe a comparison of the active contour model (ACM) and the fast marching method (FMM) using magnetic resonance (MR) images of the human brain. We determine optimized input parameters for both models to segment the hippocampus using T1-weighted MR images, and we found that the ACM provided superior performance compared with the FMM without significant additional computational expense.
  • Keywords
    biomedical MRI; image segmentation; medical image processing; ACM; FMM; MR image; T1-weighted MR image; active contour method; fast marching method; hippocampal imaging studies; hippocampus segmentation; limbic system; magnetic resonance image; Dementia; Hippocampus; Image edge detection; Image segmentation; Magnetic resonance imaging; Active Contour; Fast Marching; Hippocampus; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Systems (ICICS), 2015 6th International Conference on
  • Conference_Location
    Amman
  • Type

    conf

  • DOI
    10.1109/IACS.2015.7103211
  • Filename
    7103211