MUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Applied Sciences Année : 2022

MUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy

Mathilde Merle
  • Fonction : Auteur
Florent Collot
  • Fonction : Auteur
Pierre Jaïs
Hubert Cochet
  • Fonction : Auteur
  • PersonId : 880054

Résumé

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.

Dates et versions

hal-03934424 , version 1 (11-01-2023)

Identifiants

Citer

Mathilde Merle, Florent Collot, Julien Castelneau, Pauline Migerditichan, Mehdi Juhoor, et al.. MUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy. Applied Sciences, 2022, 12 (12), pp.6145. ⟨10.3390/app12126145⟩. ⟨hal-03934424⟩
56 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More