Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization
GASSA, Narimane
Institut de Mathématiques de Bordeaux [IMB]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
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Institut de Mathématiques de Bordeaux [IMB]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
GASSA, Narimane
Institut de Mathématiques de Bordeaux [IMB]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
< Réduire
Institut de Mathématiques de Bordeaux [IMB]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
Langue
en
Communication dans un congrès
Ce document a été publié dans
Computing in Cardiology 2022, 2022-09-04, Tampere.
Résumé en anglais
Electrocardiographic Imaging (ECGI) is a promising tool to non-invasively map the electrical activity of the heart using body surface potentials (BSPs) and the patient specific anatomical data. One of the first steps of ...Lire la suite >
Electrocardiographic Imaging (ECGI) is a promising tool to non-invasively map the electrical activity of the heart using body surface potentials (BSPs) and the patient specific anatomical data. One of the first steps of ECGI is the segmentation of the heart and torso geometries. In the clinical practice, the segmentation procedure is not fullyautomated yet and is in consequence operator-dependent. We expect that the inter-operator variation in cardiac segmentation would influence the ECGI solution. This effect remains however non quantified. In the present work, we study the effect of segmentation variability on the ECGI estimation of the cardiac activity with 262 shape models generated from fifteen different segmentations. Therefore, we designed two test cases: with and without shape model uncertainty. Moreover, we used four cases for ectopic ventricular excitation and compared the ECGI results in terms of reconstructed activation times and excitation origins. The preliminary results indicate that a small variation of the activation maps can be observed with a model uncertainty but no significant effect on the source localization is observed.< Réduire
Projet Européen
Personalized Therapies for Atrial Fibrillation. A Translational Approach
Transparency of Food Pricing
Transparency of Food Pricing
Project ANR
L'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
Plateforme multi-modale d'exploration en cardiologie
Plateforme multi-modale d'exploration en cardiologie
Origine
Importé de halUnités de recherche