Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data
Introduction: Localization of premature ventricular contraction (PVC) origin to guide the radiofrequency ablation (RFA) procedure is one of the prominent clinical goals of non-invasive electrocardiographic imaging. However, the results reported in the literature vary significantly depending on the s...
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| Format: | Article |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1197778/full |
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| author | Yesim Serinagaoglu Dogrusoz Yesim Serinagaoglu Dogrusoz Nika Rasoolzadeh Nika Rasoolzadeh Beata Ondrusova Beata Ondrusova Peter Hlivak Jan Zelinka Milan Tysler Jana Svehlikova |
| author_facet | Yesim Serinagaoglu Dogrusoz Yesim Serinagaoglu Dogrusoz Nika Rasoolzadeh Nika Rasoolzadeh Beata Ondrusova Beata Ondrusova Peter Hlivak Jan Zelinka Milan Tysler Jana Svehlikova |
| author_sort | Yesim Serinagaoglu Dogrusoz |
| collection | DOAJ |
| description | Introduction: Localization of premature ventricular contraction (PVC) origin to guide the radiofrequency ablation (RFA) procedure is one of the prominent clinical goals of non-invasive electrocardiographic imaging. However, the results reported in the literature vary significantly depending on the source model and the level of complexity in the forward model. This study aims to compare the paced and spontaneous PVC localization performances of dipole-based and potential-based source models and corresponding inverse methods using the same clinical data and to evaluate the effects of torso inhomogeneities on these performances.Methods: The publicly available EP solution data from the EDGAR data repository (BSPs from a maximum of 240 electrodes) with known pacing locations and the Bratislava data (BSPs in 128 leads) with spontaneous PVCs from patients who underwent successful RFA procedures were used. Homogeneous and inhomogeneous torso models and corresponding forward problem solutions were used to relate sources on the closed epicardial and epicardial–endocardial surfaces. The localization error (LE) between the true and estimated pacing site/PVC origin was evaluated.Results: For paced data, the median LE values were 25.2 and 13.9 mm for the dipole-based and potential-based models, respectively. These median LE values were higher for the spontaneous PVC data: 30.2–33.0 mm for the dipole-based model and 28.9–39.2 mm for the potential-based model. The assumption of inhomogeneities in the torso model did not change the dipole-based solutions much, but using an inhomogeneous model improved the potential-based solutions on the epicardial–endocardial ventricular surface.Conclusion: For the specific task of localization of pacing site/PVC origin, the dipole-based source model is more stable and robust than the potential-based source model. The torso inhomogeneities affect the performances of PVC origin localization in each source model differently. Hence, care must be taken in generating patient-specific geometric and forward models depending on the source model representation used in electrocardiographic imaging (ECGI). |
| first_indexed | 2024-03-13T06:36:33Z |
| format | Article |
| id | doaj.art-ed3898f07d244abe817fa19c2cae4639 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-03-13T06:36:33Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Physiology |
| spelling | doaj.art-ed3898f07d244abe817fa19c2cae46392023-06-09T04:52:43ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2023-06-011410.3389/fphys.2023.11977781197778Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical dataYesim Serinagaoglu Dogrusoz0Yesim Serinagaoglu Dogrusoz1Nika Rasoolzadeh2Nika Rasoolzadeh3Beata Ondrusova4Beata Ondrusova5Peter Hlivak6Jan Zelinka7Milan Tysler8Jana Svehlikova9Department of Electrical-Electronics Engineering, Middle East Technical University, Ankara, TürkiyeDepartment of Scientific Computing, Middle East Technical University, Institute of Applied Mathematics, Ankara, TürkiyeDepartment of Electrical-Electronics Engineering, Middle East Technical University, Ankara, TürkiyeDepartment of Scientific Computing, Middle East Technical University, Institute of Applied Mathematics, Ankara, TürkiyeInstitute of Measurement Science, Slovak Academy of Sciences, Bratislava, SlovakiaFaculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, SlovakiaNational Institute for Cardiovascular Diseases, Bratislava, SlovakiaInstitute of Measurement Science, Slovak Academy of Sciences, Bratislava, SlovakiaInstitute of Measurement Science, Slovak Academy of Sciences, Bratislava, SlovakiaInstitute of Measurement Science, Slovak Academy of Sciences, Bratislava, SlovakiaIntroduction: Localization of premature ventricular contraction (PVC) origin to guide the radiofrequency ablation (RFA) procedure is one of the prominent clinical goals of non-invasive electrocardiographic imaging. However, the results reported in the literature vary significantly depending on the source model and the level of complexity in the forward model. This study aims to compare the paced and spontaneous PVC localization performances of dipole-based and potential-based source models and corresponding inverse methods using the same clinical data and to evaluate the effects of torso inhomogeneities on these performances.Methods: The publicly available EP solution data from the EDGAR data repository (BSPs from a maximum of 240 electrodes) with known pacing locations and the Bratislava data (BSPs in 128 leads) with spontaneous PVCs from patients who underwent successful RFA procedures were used. Homogeneous and inhomogeneous torso models and corresponding forward problem solutions were used to relate sources on the closed epicardial and epicardial–endocardial surfaces. The localization error (LE) between the true and estimated pacing site/PVC origin was evaluated.Results: For paced data, the median LE values were 25.2 and 13.9 mm for the dipole-based and potential-based models, respectively. These median LE values were higher for the spontaneous PVC data: 30.2–33.0 mm for the dipole-based model and 28.9–39.2 mm for the potential-based model. The assumption of inhomogeneities in the torso model did not change the dipole-based solutions much, but using an inhomogeneous model improved the potential-based solutions on the epicardial–endocardial ventricular surface.Conclusion: For the specific task of localization of pacing site/PVC origin, the dipole-based source model is more stable and robust than the potential-based source model. The torso inhomogeneities affect the performances of PVC origin localization in each source model differently. Hence, care must be taken in generating patient-specific geometric and forward models depending on the source model representation used in electrocardiographic imaging (ECGI).https://www.frontiersin.org/articles/10.3389/fphys.2023.1197778/fullelectrocardiographic imaging (ECGI)inverse problem of electrocardiography (ECG)premature ventricular contraction (PVC)torso inhomogeneitiesregularization |
| spellingShingle | Yesim Serinagaoglu Dogrusoz Yesim Serinagaoglu Dogrusoz Nika Rasoolzadeh Nika Rasoolzadeh Beata Ondrusova Beata Ondrusova Peter Hlivak Jan Zelinka Milan Tysler Jana Svehlikova Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data Frontiers in Physiology electrocardiographic imaging (ECGI) inverse problem of electrocardiography (ECG) premature ventricular contraction (PVC) torso inhomogeneities regularization |
| title | Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data |
| title_full | Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data |
| title_fullStr | Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data |
| title_full_unstemmed | Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data |
| title_short | Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data |
| title_sort | comparison of dipole based and potential based ecgi methods for premature ventricular contraction beat localization with clinical data |
| topic | electrocardiographic imaging (ECGI) inverse problem of electrocardiography (ECG) premature ventricular contraction (PVC) torso inhomogeneities regularization |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2023.1197778/full |
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