• DocumentCode
    2375859
  • Title

    Automatic Segmentation of Abdominal Aortic Aneurysm Using Logical Algorithm

  • Author

    Hosseini, Behnam ; Mashak, Saeed Vahabi ; Majd, Emadaldin Mozafari ; Sheikh, U.U. ; Abu-Bakar, S.A.R.

  • Author_Institution
    Dept. of Microelectron. & Comput. Eng., Video & Image Process. (CvviP) Res. Group, Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2010
  • fDate
    17-19 Nov. 2010
  • Firstpage
    147
  • Lastpage
    151
  • Abstract
    Abdominal aortic aneurysm is a cardiovascular disease which occurs due to an abnormal weakening of the aorta wall. This failure in aortic wall causes the inner layer to be ruptured because of excessive blood pressure. Consequently, the blood flows into the space between lumen and epithelial, hence a thrombus is generated. On the other hand, excessive growth in the aorta diameter can lead to death as a result of a rupture in the epithelial. In this paper, we present a technique for automatic segmentation of abdominal aortic aneurysm. The proposed method integrates the exclusive information extracted from histogram and morphological properties of aortic lumen to segment the aorta. Then the proposed algorithm utilizes a search technique with priori information about the lumen to segment epithelial area automatically.
  • Keywords
    cardiovascular system; diseases; haemodynamics; image segmentation; knowledge acquisition; medical image processing; abdominal aortic aneurysm; automatic segmentation; blood flow; blood pressure; cardiovascular disease; information extraction; logical algorithm; lumen; priori information; search technique; segment epithelial area; thrombus; abdominal aortic aneurysm; epithelial; histogram; lumen; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation (EMS), 2010 Fourth UKSim European Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-9313-5
  • Electronic_ISBN
    978-0-7695-4308-6
  • Type

    conf

  • DOI
    10.1109/EMS.2010.35
  • Filename
    5703673