• DocumentCode
    2804975
  • Title

    Automatic extraction of the left atrial anatomy from MR for atrial fibrillation ablation

  • Author

    Karim, Rashed ; Rueckert, Daniel ; Mohiaddin, Raad ; Drivas, Peter

  • Author_Institution
    Dept. of Comput., Imperial Coll. London, London, UK
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    This paper describes and evaluates methods to detect pulmonary vein drainages and create detailed vessel trees of each drainage from contrast-enhanced magnetic resonance angiography (MRA). This description of the drainage allow us to determine the highly complex left atrial anatomy in a qualitative and quantitative way. It is beneficial for planning atrial fibrillation ablation procedures. We conclude that our methods permit the creation of drainage trees for the detailed description of the atrial anatomy from cardiac MRA data.
  • Keywords
    biomedical MRI; blood vessels; feature extraction; image segmentation; medical image processing; MR; atrial fibrillation ablation; automatic extraction; contrast-enhanced magnetic resonance angiography; left atrial anatomy; pulmonary vein drainages; vessel trees; Anatomy; Atrial fibrillation; Biomedical imaging; Blood vessels; Euclidean distance; Filters; Image segmentation; Magnetic resonance; Shape; Veins; Blood vessels; Segmentation; magnetic resonance angiocardiography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193094
  • Filename
    5193094