Reconstruction of cardiac position using body surface potentials.

Body Surface Potential Mapping / methods Diagnostic Imaging Electrocardiography / methods Heart / diagnostic imaging Humans
Body surface potential mapping Electrocardiographic imaging Inverse problem Optimization

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
03 2022
Historique:
received: 04 11 2021
revised: 22 12 2021
accepted: 23 12 2021
pubmed: 23 1 2022
medline: 18 3 2022
entrez: 22 1 2022
Statut: ppublish

Résumé

Electrocardiographic imaging (ECGI) is a noninvasive technique to assess the bioelectric activity of the heart which has been applied to aid in clinical diagnosis and management of cardiac dysfunction. ECGI is built on mathematical models that take into account several patient specific factors including the position of the heart within the torso. Errors in the localization of the heart within the torso, as might arise due to natural changes in heart position from respiration or changes in body position, contribute to errors in ECGI reconstructions of the cardiac activity, thereby reducing the clinical utility of ECGI. In this study we present a novel method for the reconstruction of cardiac geometry utilizing noninvasively acquired body surface potential measurements. Our geometric correction method simultaneously estimates the cardiac position over a series of heartbeats by leveraging an iterative approach which alternates between estimating the cardiac bioelectric source across all heartbeats and then estimating cardiac positions for each heartbeat. We demonstrate that our geometric correction method is able to reduce geometric error and improve ECGI accuracy in a wide range of testing scenarios. We examine the performance of our geometric correction method using different activation sequences, ranges of cardiac motion, and body surface electrode configurations. We find that after geometric correction resulting ECGI solution accuracy is improved and variability of the ECGI solutions between heartbeats is substantially reduced.

Identifiants

DOI: 10.1016/j.compbiomed.2021.105174 PMID: 35065409 PMC: PMC8844250
pubmed: 35065409
pii: S0010-4825(21)00968-9
doi: 10.1016/j.compbiomed.2021.105174
pmc: PMC8844250
mid: NIHMS1773665
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

105174

Subventions

Organisme : NHLBI NIH HHS
ID : F30 HL149327
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103545
Pays : United States
Organisme : NIGMS NIH HHS
ID : R24 GM136986
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

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Auteurs

Jake A Bergquist (JA)

Scientific Computing and Imaging Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Department of Biomedical Engineering, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States. Electronic address: jbergquist@sci.utah.edu.

Jaume Coll-Font (J)

Cardiovascular Bioengineering Imaging (CBM) Lab at the Massachusetts General Hospital, Boston, MA, United States.

Brian Zenger (B)

Scientific Computing and Imaging Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Department of Biomedical Engineering, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; School of Medicine, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States.

Lindsay C Rupp (LC)

Scientific Computing and Imaging Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Department of Biomedical Engineering, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States.

Wilson W Good (WW)

Acutus Medical, Carlsbad, CA, United States.

Dana H Brooks (DH)

Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States.

Rob S MacLeod (RS)

Scientific Computing and Imaging Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States; Department of Biomedical Engineering, University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, United States.

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Classifications MeSH

questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Électrodiagnostic › Électrocardiographie › Vectocardiographie › Cartographie du potentiel de surface corporelle › Reconstruction of cardiac position using body...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Reconstruction of cardiac position using body...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Électrodiagnostic › Électrocardiographie › Reconstruction of cardiac position using body...
questionsmedicales.fr › Système cardiovasculaire › Coeur › Reconstruction of cardiac position using body...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Reconstruction of cardiac position using body...