fr | en


IHU Liryc is a new, 7,300 m2 building dedicated to both research, education and training, and innovation, but also a cardiothoracic cluster at the CHU de Bordeaux Haut-Lévêque Cardiology Hospital, which celebrated its 40th anniversary in 2018.

Technology platform for basic research

It consists of optical mapping facilities and multielectrode arrays for various experimental models, a unique visually-guided ablation system (Voyage®), optical coherence tomography facilities, mass spectrometry, video microscopy, experimental facilities, cell sorting devices and flow cytometry, confocal and optical microscopy, in addition to the existing cross-sectional Technology Platform for Biomedical Innovation.

Technology platform for clinical research

It has three fully-equipped laboratories for optical mapping of angiographic (X-ray medical imaging technique) and haemodynamic (which studies blood flow) investigations, magnetic catheter telenavigation, multiple ablation devices, and 2 unique technologies for studying cardiac electrophysiology: a probe capable of recording multiple action potentials in order to study refraction and conduction properties and a multilead ECG mapping system capable of reconstructing epicardial electrograms from the chest surface.

Imaging platform

Liryc has several pieces of state-of-the-art-imaging equipment: an ultra-high field (9.4 Tesla) MRI (magnetic resonance imaging) scanner allowing the ex vivo acquisition and processing of 3D data with high resolution similar to histology; several MRI (1.5 Tesla) scanners for clinical or research purposes permitting simultaneous analysis of the cardiac structure and electrical signals; a multimodal platform (a hybrid X-ray – MRI suite) acquired as part of the MUSIC Equipex project, which enables the integrated analysis of the mechanism responsible for arrhythmias with the aim of identifying personalised therapeutic solutions.

Computer science platform

Liryc is developing new digital models with Inria (French National Institute for Digital Sciences) for modelling and simulating the heart's electrical and mechanical activity, from the cell to the person in order to understand electro-mechanical coupling better. Virtual personalised hearts are built using clinical data to develop high-performance computing algorithms to solve several million equations on supercomputers. A major challenge is to make simulations reliable and accessible to the medical community, so that it can integrate them into clinical practice.