MUSIC project


MUSIC (Multi-modality Platform for Specific Imaging in Cardiology) is a platform developed by the Multimodal Data Science team at Liryc IHU and the Epione and Carmen Inria teams that aims to offer a large spectrum of functionalities and processing pipelines dedicated to cardiology applications for both diagnosis and therapy guidance.

MUSIC is composed of several modules:

VT MUSIC consortium

The VT MUSIC consortium brings together international centers with expertise in ventricular tachycardias (VT) and our institute. The data acquired in the hospitals are sent to us through a web portal, processed rapidly by our expert operators in our desktop application, and then corrected and validated by a radiologist. Finally, ouput models are sent back to partner hospitals. Thus, personalised models of the patient’s heart can be included in cardiac operations.

MUSICardio

The desktop application is called MUSICardio and is built on the open-source software medInria, which comprises a large set of versatile tools for image segmentation, visualisation, filtering, histogram analysis, data reformatting, registration and mesh processing, all of which are being provided to the community with a user-friendly common framework for more efficiency. Furthermore, imaging data from various modalities such as: MDCT, MRI, PET and echography, are easily handled by the application. In addition, the cardiac models generated can be exported to clinical 3D electroanatomical mapping systems used by cardiologists during interventional procedures to repair electrical disorders (e.g. catheter-based ablations).

MUSICardio
MUSICardio

MUSIC Anonymizer

Users can anonymize their DICOM images through our anonymizer.

MUSIC Anonymizer
MUSIC Anonymizer

MUSIC Server

Our web portal allows users to upload their anonymized data and add relevant information to it for our operators and clinicians. The data are downloaded by our operators who process it thanks to a VT pipeline. The results are then sent to a radiologist to correct and validate the computed models. Finally, the generated cardiac models are uploaded to the web portal and can be retrieved by hospital users for use during cardiac operations.

MUSIC Server
MUSIC Server

MUSIC Viewer

In addition to the web portal, a mesh viewer is provided so that clinicians from the VT MUSIC consortium hospitals can study the heart meshes before surgery. It allows to view the results in 3D and to export them in NavX or Carto compatible format if needed.

MUSIC Viewer
MUSIC Viewer

Acknowledgements

This work has benefited from:
  • ANR (French National Research Agency): IHU Liryc, L'Institut de RYthmologie et modélisation Cardiaque, reference 10-IAHU-0004, 2011/2024.
  • ANR: EQUIPEX MUSIC, Plateforme multi-modale d'exploration en cardiologie, reference 11-EQPX-0030, 2012/2021.
  • Inria: ADT IDAM, engineering for the integration of cardiac electrophysiology images, data and models, 2015/2017.
  • Inria: ADT EPICARD-VIZ, electrocardiographic imaging tool: simulation and visualization, 2016/2018.
  • Inria: ADT CIESCARD, combining electrical and structural information to help cardiologists better target cardiac therapy, 2018/2020.
  • ERC: Starting Grant ECSTATIC, Electrostructural Tomography - Towards Multiparametric Imaging of Cardiac Electrical Disorders, reference 715093, 2017/2022, https://www.ihu-liryc.fr/fr/ecstatic.