MERLE, Mathilde; COLLOT, Florent; CASTELNEAU, Julien; MIGERDITICHAN, Pauline; JUHOOR, Mehdi; LY, Buntheng; OZENNE, Valery; QUESSON, Bruno; ZEMZEMI, Nejib; COUDIÈRE, Yves; JAÏS, Pierre; COCHET, Hubert; SERMESANT, Maxime

doi:10.3390/app12126145

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MERLE, Mathilde
IHU-LIRYC

COLLOT, Florent
IHU-LIRYC

CASTELNEAU, Julien
Service Expérimentation et Développement [Bordeaux] [SED]

Langue

Article de revue

Ce document a été publié dans

Applied Sciences. 2022-06, vol. 12, n° 12, p. 6145

Multidisciplinary digital publishing institute (MDPI)

Résumé en anglais

The tremendous advancement of cardiac imaging methods, the substantial progress in predictive modelling, along with the amount of new investigative multimodalities, challenge the current technologies in the cardiology field. Innovative, robust and multimodal tools need to be created in order to fuse imaging data (e.g., MR, CT) with mapped electrical activity and to integrate those into 3D biophysical models. In the past years, several cross-platform toolkits have been developed to provide image analysis tools to help build such software. The aim of this study is to introduce a novel multimodality software platform dedicated to cardiovascular diagnosis and therapy guidance: MUSIC. This platform was created to improve the image-guided cardiovascular interventional procedures and is a robust platform for AI/Deep Learning, image analysis and modelling in a newly created consortium with international hospitals. It also helps our researchers develop new techniques and have a better understanding of the cardiac tissue properties and physiological signals. Thus, this extraction of quantitative information from medical data leads to more repeatable and reliable medical diagnoses.< Réduire

Mots clés en anglais

cardiac imaging

multimodal

electrophysiology

deep learning

biophysical modelling

inverse problems

URI

https://oskar-bordeaux.fr/handle/20.500.12278/190713

DOI

http://dx.doi.org/10.3390/app12126145

Projet Européen

Electrostructural Tomography - Towards Multiparametric Imaging of Cardiac Electrical Disorders

Project ANR

L'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
Plateforme multi-modale d'exploration en cardiologie

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251