• DocumentCode
    18792
  • Title

    Postinfarction Ventricular Tachycardia Substrate Characterization: A Comparison Between Late Enhancement Magnetic Resonance Imaging and Voltage Mapping Using an MR-Guided Electrophysiology System

  • Author

    Oduneye, Samuel O. ; Pop, Mihaela ; Biswas, Labonny ; Ghate, Sudip ; Flor, Roey ; Ramanan, Venkat ; Barry, John ; Celik, Hasan ; Crystal, Eugene ; Wright, Graham A.

  • Author_Institution
    Dept. of Med. Biophys., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    60
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    2442
  • Lastpage
    2449
  • Abstract
    Catheter ablation of ventricular tachycardia (VT) is preceded by characterization of the myocardial substrate via electroanatomical voltage mapping (EAVM). The purpose of this study was to characterize the relationship between chronic myocardial fibrotic scar detected by multicontrast late enhancement (MCLE) MRI and by EAVM obtained using an MR-guided electrophysiology system, with a final aim to better understand how these measures may improve identification of potentially arrhythmogenic substrates. Real-time MR-guided EAVM was performed in six chronically infarcted animals in a 1.5T MR system. The MCLE images were analyzed to identify the location and extent of the fibrotic infarct. Voltage maps of the left ventricle (LV) were created with an average of 231 ± 35 points per LV. Correlation analysis was conducted between bipolar voltage and three MR parameters (infarct transmurality, tissue categorization into healthy and scar classes, and normalized relaxation rate R1*). In general, tissue regions classified as scar by normalized R1* values were well correlated with locations with low bipolar voltage values. Moreover, our results demonstrate that MRI information (transmurality, tissue classification, and relaxation rate) can accurately predict areas of myocardial fibrosis identified with bipolar voltage mapping, as demonstrated by ROC analysis. MCLE can help overcome limitations of bipolar voltage mapping including long durations and lower spatial discrimination and may help identify the sites within scars, which are commonly believed to trigger arrhythmic events in postinfarction patients.
  • Keywords
    bioelectric phenomena; biological tissues; biomedical MRI; cardiology; diseases; image classification; image enhancement; medical image processing; EAVM; MR-guided electrophysiology system; ROC analysis; catheter ablation; chronic myocardial fibrotic scar; electroanatomical voltage mapping; magnetic flux density 1.5 T; magnetic resonance imaging; multicontrast late enhancement MRI; myocardial substrate; postinfarction patients; postinfarction ventricular tachycardia substrate characterization; tissue categorization; tissue classification; tissue relaxation rate; Animals; Catheters; Electrodes; Magnetic resonance imaging; Myocardium; Substrates; Cardiac MRI; T1 maps; electrophysiology; image-guided treatment; late-enhancement MRI; ventricular tachycardia; Algorithms; Animals; Body Surface Potential Mapping; Catheter Ablation; Cluster Analysis; Fuzzy Logic; Heart Ventricles; Imaging, Three-Dimensional; Magnetic Resonance Imaging; ROC Curve; Statistics, Nonparametric; Surgery, Computer-Assisted; Swine; Tachycardia, Ventricular;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2257772
  • Filename
    6497552