• DocumentCode
    3602128
  • Title

    Temporal Sparse Promoting Three Dimensional Imaging of Cardiac Activation

  • Author

    Long Yu ; Zhaoye Zhou ; Bin He

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    34
  • Issue
    11
  • fYear
    2015
  • Firstpage
    2309
  • Lastpage
    2319
  • Abstract
    A new Cardiac Electrical Sparse Imaging (CESI) technique is proposed to image cardiac activation throughout the three-dimensional myocardium from body surface electrocardiogram (ECG) with the aid of individualized heart-torso geometry. The sparse property of cardiac electrical activity in the time domain is utilized in the temporal sparse promoting inverse solution, one formulated to achieve higher spatial-temporal resolution, stronger robustness and thus enhanced capability in imaging cardiac electrical activity. Computer simulations were carried out to evaluate the performance of this imaging method under various circumstances. A total of 12 single site pacing and 7 dual sites pacing simulations with artificial and the hospital recorded sensor noise were used to evaluate the accuracy and stability of the proposed method. Simulations with modeling error on heart-torso geometry and electrode-torso registration were also performed to evaluate the robustness of the technique. In addition to the computer simulations, the CESI algorithm was further evaluated using experimental data in an animal model where the noninvasively imaged activation sequences were compared with those measured with simultaneous intracardiac mapping. All of the CESI results were compared with conventional weighted minimum norm solutions. The present results show that CESI can image with better accuracy, stability and stronger robustness in both simulated and experimental circumstances. In sum, we have proposed a novel method for cardiac activation imaging, and our results suggest that the CESI has enhanced performance, and offers the potential to image the cardiac activation and to assist in the clinical management of ventricular arrhythmias.
  • Keywords
    bioelectric potentials; diseases; electrocardiography; geometry; image sequences; inverse problems; medical disorders; medical image processing; CESI algorithm; ECG; animal model; body surface electrocardiogram; cardiac activation imaging; cardiac electrical activity; cardiac electrical sparse imaging technique; computer simulation; conventional weighted minimum norm solutions; electrode-torso registration; heart-torso geometry; hospital recorded sensor noise; inverse problem; noninvasively imaged activation sequences; robustness; simultaneous intracardiac mapping; single site pacing; spatial-temporal resolution; temporal sparse promoting three dimensional imaging; temporal sparse property; three-dimensional myocardium; time domain; ventricular arrhythmias; Computational modeling; Current density; Electric potential; Electrocardiography; Heart; Myocardium; Cardiac activation; ECG inverse problem; cardiac electrical imaging; cardiac pacing;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2015.2429134
  • Filename
    7101293