Heart-Surface Reconstruction and ECG Electrodes Localization Using Fluoroscopy, Epipolar Geometry and Stereovision: Application to Noninvasive Imaging of Cardiac Electrical Activity

Raja N. Ghanem, Charulatha Ramanathan, Ping Jia, Yoram Rudy

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

To date there is no imaging modality for cardiac arrhythmias which remain the leading cause of sudden death in the United States (>300 000/yr.). Electrocardiographic imaging (ECGI), a noninvasive modality that images cardiac arrhythmias from body surface potentials, requires the geometrical relationship between the heart surface and the positions of body surface ECG electrodes. A photographic method was validated in a mannequin and used to determine the three-dimensional coordinates of body surface ECG electrodes to within 1 mm of their actual positions. Since fluoroscopy is available in the cardiac electrophysiology (EP) laboratory where diagnosis and treatment of cardiac arrhythmias is conducted, a fluoroscopic method to determine the heart surface geometry was developed based on projective geometry, epipolar geometry, point reconstruction, b-spline interpolation and visualization. Fluoroscopy-reconstructed hearts in a phantom and a human subject were validated using high-resolution computed tomography (CT) imaging. The mean absolute distance error for the fluoroscopy-reconstructed heart relative to the CT heart was 4 mm (phantom) and 10 mm (human). In the human, ECGI images of normal cardiac electrical activity on the fluoroscopy-reconstructed heart showed close correlation with those obtained on the CT heart. Results demonstrate the feasibility of this approach for clinical noninvasive imaging of cardiac arrhythmias in the interventional EP laboratory.

Original languageEnglish
Pages (from-to)1307-1318
Number of pages12
JournalIEEE Transactions on Medical Imaging
Volume22
Issue number10
DOIs
StatePublished - Oct 2003

Keywords

  • Cardiac arrhythmias
  • Cardiac electrophysiology
  • Cardiac imaging
  • Cardiac mapping
  • Electrocardiographic imaging
  • Epipolar geometry
  • Fluoroscopy
  • Heart modeling

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