• DocumentCode
    3562053
  • Title

    Identification of myocardial scar in ventricular tachycardia: Correlation between CT based results and electro-anatomic map findings

  • Author

    Antunes, Sofia ; Esposito, Antonio ; Maccabelli, Giuseppe ; Palmisano, Anna ; Colantoni, Caterina ; Colombo, Sebastiano ; della Bella, Paolo ; Cerutti, Sergio ; Rizzo, Giovanna

  • Author_Institution
    Inst. of Mol. Bioimaging & Physiol., Segrate, Italy
  • fYear
    2014
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    The purpose of this work was to compare an image-based parametric myocardium mesh automatically segmented from multidetector computed tomographic (MDCT) volumes with the findings of electro-anatomic maps (EAM) constructed previously to radiofrequency ablation (RFa) procedures. The myocardium mesh presents distance information about myocardial thickness, as well as the localization of scar detected using a delayed enhanced DE-MDCT scan. Additionally, possible zones of epicardial fat with thickness greater than 3mm were also identified on patients that underwent an epicardial intervention. The comparison was performed on 5 patients with recurrent ventricular tachycardia (VT) undergoing angiographic and DE-MDCT scan before EAM and RFa, of which 3 patients underwent endocardial and 2 patients an epicardial procedure. We compared the findings of the myocardium mesh against EAM and our results suggest that the mesh could be an important tool for the prediction of myocardial scar localization.
  • Keywords
    angiocardiography; cardiovascular system; computerised tomography; diagnostic radiography; image segmentation; medical image processing; muscle; DE-MDCT scan; EAM; MDCT segmentation; RFa; angiography; electroanatomic maps; multidetector computed tomographic volumes; myocardial scar identification; myocardium mesh; radiofrequency ablation; ventricular tachycardia; Abstracts; Computed tomography; Equations; Ink; Magnetic resonance imaging; Myocardium; Substrates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2014
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-4346-3
  • Type

    conf

  • Filename
    7042965