• DocumentCode
    2711524
  • Title

    Comparison of Balloon Snake and GVF Snake in Segmenting Masses from Breast Ultrasound Images

  • Author

    Jumaat, Abdul Kadir ; Rahman, Wan Eny Zarina W A ; Ibrahim, Arsmah ; Mahmud, Rozi

  • Author_Institution
    Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2010
  • fDate
    7-10 May 2010
  • Firstpage
    505
  • Lastpage
    509
  • Abstract
    The active contour or Snake is a computational model that can trace boundaries of images. It is formulated based on controlled continuous splines and adopts energy minimization conception. This paper presents the application of Snakes for the segmentation of masses on breast ultrasound images. The boundaries of the masses identified may be used in locating potential cancerous cases for further analysis. Initially, Balloon Snake and Gradient Vector Flow (GVF) Snake are applied in segmenting the masses in the breast ultrasound phantom images. Comparison on the masses areas segmented by the Balloon Snake and the GVF Snake is done against the actual masses area. The better method with smaller values of average percentage area difference is chosen to be applied in segmenting masses on real breast ultrasound images. The performance is measured in terms of average percentage area difference traced by the chosen method against the area traced by expert radiologist. It is found that from eighty breast ultrasound phantom images (40 cyst and 40 solid masses) tested, the values of average percentage area difference for cyst and solid masses in the Balloon Snake are 3.07% and 9.17% respectively while GVF Snake are 13.43% and 48.37% respectively. Therefore Balloon Snake is chosen to segment real breast ultrasound images. Fifty images are tested. Segmentation on the images shows that the average percentage area difference of Balloon Snake is 4.29% which mean 95.71% accurate.
  • Keywords
    image segmentation; medical image processing; phantoms; ultrasonic imaging; balloon snake; breast ultrasound images; computational model; gradient vector flow snake; image segmentation; radiologist; ultrasound phantom images; Active contours; Area measurement; Breast; Computational modeling; Image segmentation; Imaging phantoms; Solids; Testing; Ultrasonic imaging; Ultrasonic variables measurement; Balloon Snake; Gradient Vector Flow; breast ultrasound image; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development, 2010 Second International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-4043-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2010.109
  • Filename
    5489610