• DocumentCode
    3562260
  • Title

    Noninvasive identification of three-dimensional myocardial infarctions from inversely reconstructed equivalent current density

  • Author

    Zhaoye Zhou ; Chengzong Han ; Bin He

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2014
  • Firstpage
    833
  • Lastpage
    836
  • Abstract
    The study presents a new approach to non-invasively identify the 3-dimensional MI substrate from the equivalent current densities (ECDs) that is inversely reconstructed from body surface potential maps (BSPMs). The MI substrate was characterized using a threshold determined from the ECD magnitude. A total of 114 sites of transmural infarctions, 91 sites of epicardial infarctions, and 36 sites of endocardial infarctions were simulated. The results show that: 1)With 205 BSPM electrodes and 10 μV Gaussian white noise, the averaged accuracies for transmural MI are sensitivity = 83.4%, specificity = 82.2%, and the distance between the centers of gravity (DCG) = 6.5mm. Epicardial infarctions (sensitivity = 81.6%, specificity = 75.8%, and DCG = 7.5mm) obtained similar accuracies to endocardial infarctions (sensitivity = 80.0%, specificity = 77.0%, and DCG = 10.4 mm). A reasonably good imaging performance was obtained under a higher noise level, fewer BSPM electrodes, and mild volume conductor modeling error, respectively. The results suggest that this method is capable of imaging the transmural and surface infarction.
  • Keywords
    Gaussian noise; bioelectric phenomena; biomedical electrodes; cardiovascular system; diseases; image denoising; medical computing; muscle; patient diagnosis; surface potential; 3-dimensional MI substrate; 3D MI substrate; 3D myocardial infarctions; BSPM electrodes; ECD magnitude; Gaussian white noise; MI substrate characterization; body surface potential maps; distance between the centers of gravity; endocardial infarction simulation; epicardial infarction simulation; equivalent current densities; imaging noise level; inversely reconstructed ECD; inversely reconstructed equivalent current density; mild volume conductor modeling error; noninvasive myocardial infarction identification; surface infarction imaging; three-dimensional myocardial infarctions; transmural MI imaging; transmural MI sensitivity; transmural MI specificity; transmural infarction simulation; Abstracts; Biological system modeling; Computational modeling; Electrodes; Imaging; Size measurement; Weight measurement;
  • 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
    7043172