• DocumentCode
    541531
  • Title

    Abilities of cardiac MSCT imaging to provide useful anatomical and functional information for Cardiac Resynchronization Therapy optimization

  • Author

    Garreau, M. ; Garcia, M.P. ; Tavard, F. ; Simon, A. ; Fleureau, J. ; Velut, J. ; Boulmier, D. ; Haigron, P. ; Toumoulin, C. ; Leclercq, C.

  • Author_Institution
    INSERM, Rennes, France
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    A main limit of biventricular Cardiac Resynchronization Therapy (CRT) is the high rate of non-responder. A challenging task to carry out remains both the identification of the most effective pacing sites and the left ventricular lead positioning by a venous access. This paper aims to show how cardiac CT imaging can be helpful for the clinician to analyse venous system and cardiac function before the device implantation. 4D CT data have been analyzed in order to extract coronary vein anatomy and global and local left ventricle (LV) function. The proposed process is decomposed in successive steps: (1) the 3D tracking of coronary veins based on a fast-marching technique; (2) the 3D extraction and motion estimation of the LV along the cardiac cycle; (3) the fusion of extracted descriptors with adapted modes of visualization. This approach has been tested on three patients and shows how an optimal use of CT imaging may represent an advance towards CRT planning.
  • Keywords
    blood vessels; cardiovascular system; computerised tomography; diagnostic radiography; feature extraction; motion estimation; radiation therapy; 3D extraction; CRT; CT imaging; biventricular cardiac resynchronization therapy; cardiac MSCT imaging; coronary vein; motion estimation; venous system; Cathode ray tubes; Computed tomography; Data visualization; Surface reconstruction; Three dimensional displays; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2010
  • Conference_Location
    Belfast
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7318-2
  • Type

    conf

  • Filename
    5737953