Localization of Activation Origin on Patient-Specific Endocardial Surface by the Equivalent Double Layer (EDL) Source Model with Sparse Bayesian Learning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F19%3A10391185" target="_blank" >RIV/00064165:_____/19:10391185 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11110/19:10391185

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=R1O4N4tFjZ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=R1O4N4tFjZ</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TBME.2018.2887041" target="_blank" >10.1109/TBME.2018.2887041</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Localization of Activation Origin on Patient-Specific Endocardial Surface by the Equivalent Double Layer (EDL) Source Model with Sparse Bayesian Learning

Popis výsledku v původním jazyce

Objective: Ablation treatment of ventricular arrhythmias can be facilitated by pre-procedure planning aided by electrocardiographic inverse solution, which can help to localize the origin of arrhythmia. Our aim was to improve localization accuracy of the inverse solution for activation originating on the left-ventricular endocardial surface, by using a sparse Bayesian learning (SBL). Methods: The inverse problem of electrocardiography was solved by reconstructing endocardial potentials from time-integrals of body-surface electrocardiograms and from patient-specific geometry of the heart and torso for 3 patients with structurally normal ventricular myocardium, who underwent endocardial catheter mapping which included pace-mapping. Complementary simulations using dipole sources in patient-specific geometry were also performed. The proposed method is using sparse property of the equivalent-double-layer (EDL) model of cardiac sources and employs the SBL and makes use of the spatio-temporal features of the cardiac action potentials. Results: The mean localization error of the proposed method for pooled pacing sites (n = 52) was significantly better (p = 0.0039) than that achieved for the same patients in the previous study. Simulation experiments localized the source dipoles (n = 48) from forward-simulated potentials with the error of 9.4 x 4.5 mm (mean x SD). Conclusion: The results of our clinical and simulation experiments demonstrate that localization of left-ventricular endocardial activation by means of the Bayesian approach based on sparse representation of sources by EDL is feasible and accurate. Significance: The proposed approach to localizing endocardial sources may have important applications in pre-procedure assessment of arrhythmias and in guiding their ablation treatment.

Název v anglickém jazyce

Localization of Activation Origin on Patient-Specific Endocardial Surface by the Equivalent Double Layer (EDL) Source Model with Sparse Bayesian Learning

Popis výsledku anglicky

Objective: Ablation treatment of ventricular arrhythmias can be facilitated by pre-procedure planning aided by electrocardiographic inverse solution, which can help to localize the origin of arrhythmia. Our aim was to improve localization accuracy of the inverse solution for activation originating on the left-ventricular endocardial surface, by using a sparse Bayesian learning (SBL). Methods: The inverse problem of electrocardiography was solved by reconstructing endocardial potentials from time-integrals of body-surface electrocardiograms and from patient-specific geometry of the heart and torso for 3 patients with structurally normal ventricular myocardium, who underwent endocardial catheter mapping which included pace-mapping. Complementary simulations using dipole sources in patient-specific geometry were also performed. The proposed method is using sparse property of the equivalent-double-layer (EDL) model of cardiac sources and employs the SBL and makes use of the spatio-temporal features of the cardiac action potentials. Results: The mean localization error of the proposed method for pooled pacing sites (n = 52) was significantly better (p = 0.0039) than that achieved for the same patients in the previous study. Simulation experiments localized the source dipoles (n = 48) from forward-simulated potentials with the error of 9.4 x 4.5 mm (mean x SD). Conclusion: The results of our clinical and simulation experiments demonstrate that localization of left-ventricular endocardial activation by means of the Bayesian approach based on sparse representation of sources by EDL is feasible and accurate. Significance: The proposed approach to localizing endocardial sources may have important applications in pre-procedure assessment of arrhythmias and in guiding their ablation treatment.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30201 - Cardiac and Cardiovascular systems

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Biomedical Engineering

ISSN

0018-9294

e-ISSN

—

Svazek periodika

66

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

2287-2295

Kód UT WoS článku

000476773700016

EID výsledku v databázi Scopus

2-s2.0-85058876537