Accuracy of single-dipole inverse solution when localising ventricular pre-excitation sites: Simulation study

R. Hren, G. Stroink, B. M. Horáček

Résultat de recherche: Articleexamen par les pairs

28 Citations (Scopus)

Résumé

Different factors are investigated that may affect the accuracy of an inverse solution that uses a single-dipole equivalent generator, in a standardised inhomogeneous torso model, when localising the pre-excitation sites. An anatomical model of the human ventricular myocardium is used to simulate body surface potential maps (BSPMs) and magnetic field maps (MFMs) for 35 pre-excitation sites positioned on the epicardial surface along the atrioventricular ring. The sites of pre-excitation activity are estimated by the single-dipole method, and the measure for the accuracy of the localisation is the localisation error, defined as the distance between the location of the best-fitting single dipole and the actual site of pre-excitation in the ventricular model. The findings indicate that, when the electrical properties of the volume conductor and lead positions are precisely known and the 'measurement' noise is added to the simulated BSPMs and MFMs, the single-dipole method optimally localises the pre-excitation activity 20 ms after the onset of pre-excitation, within 0.71 ± 0.28cm and 0.65 ± 0.30 cm using BSPMs and MFMs, respectively. When the standard torso model is used to localise the sites of onset of the pre-excitation sequence initiated in four individualised torso models, the maximum errors are as high as 2.6-3.0 cm (even though the average error, for both the BSPM and MFM localisations, remains within the 1.0-1.5 cm range), in spite of these shortcomings, it is thought that single-dipole localisations can be useful for non-invasive pre-interventional planning.

Langue d'origineEnglish
Pages (de-à)323-329
Nombre de pages7
JournalMedical and Biological Engineering and Computing
Volume36
Numéro de publication3
DOI
Statut de publicationPublished - mai 1998

Note bibliographique

Funding Information:
Acknowledgments--This study was supported by the Richard A. and Nora Eccles Harrison Fund for Cardiovascular Research, the Nora Eccles Treadwell Foundation and, in part, by the Heart and Stroke Foundation of Nova Scotia.

ASJC Scopus Subject Areas

  • Biomedical Engineering
  • Computer Science Applications

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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