Low and very-low-field 3D magnetic resonance spirometry for advanced regional exploration of respiratory diseases

Project Information

V-LF-Spiro3D

Grant agreement ID: 101099934

DOI

10.3030/101099934

EC signature date 20 March 2023

Start date 1 April 2023

End date 31 March 2027

Funded under

• The European Innovation Council (EIC)

Total cost

€ 3 584 656,75

EU contribution

€ 3 584 656,75

Coordinated by

UNIVERSITE PARIS-SACLAY
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Study on practices

Report on experimental and clinical practices

Website and project logo

Website and project logo information with also social media links

Demonstrators, pilots, prototypes (1)

Art-science prototype

Art-science prospective prototype

Publications

Thesis and dissertations (1)

3D MR Spirometry. Signal and Image processing.

Author(s): Nathalie Barrau
Published in: 2024
Publisher: Université Paris-Saclay

Peer reviewed articles (9)

Digital twins for chronic lung diseases

Author(s): Apolline Gonsard, Martin Genet, David Drummond
Published in: European Respiratory Review, Issue 33, 2025, ISSN 0905-9180
Publisher: European Respiratory Society (ERS)
DOI: 10.1183/16000617.0159-2024

Micro-Poro-Mechanical Modeling of the Lung Parenchyma: Theoretical Modeling and Parameters Identification

Author(s): Mahdi Manoochehrtayebi, Martin Genet, Aline Bel-Brunon
Published in: Journal of Biomechanical Engineering, Issue 148, 2025, ISSN 0148-0731
Publisher: ASME International
DOI: 10.1115/1.4070036

Functional patterns of healthy human respiratory dynamics by 3D MR spirometry

Author(s): Nathalie Barrau, Adrien Duwat, Catalin Fetita, Killian Sambourg, Antoine Beurnier, Claire Pellot-Barakat, Angéline Nemeth, Brice Fernandez, Tanguy Boucneau, Vincent Lebon, Xavier Maître
Published in: European Radiology, 2025, ISSN 1432-1084
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S00330-025-11838-0

A model of mechanical loading of the lungs including gravity and a balancing heterogeneous pleural pressure

Author(s): Alice Peyraut, Martin Genet
Published in: Biomechanics and Modeling in Mechanobiology, Issue 23, 2024, ISSN 1617-7959
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S10237-024-01876-W

What is personalized lung poromechanical modeling and how can it improve the understanding and management of fibrotic interstitial lung diseases?

Author(s): Pierre-Yves Brillet, Alice Peyraut, Jean-François Bernaudin, Catalin Fetita, Hilario Nunes, Martin Genet
Published in: Expert Review of Respiratory Medicine, Issue 19, 2025, ISSN 1747-6348
Publisher: Informa UK Limited
DOI: 10.1080/17476348.2025.2464886

Finite strain formulation of the discrete equilibrium gap principle: application to direct parameter estimation from large full-fields measurements

Author(s): Alice Peyraut, Martin Genet
Published in: Comptes Rendus. Mécanique, Issue 353, 2025, ISSN 1631-0721
Publisher: MathDoc/Centre Mersenne
DOI: 10.5802/CRMECA.279

Diaphragmatic MRI and 3D spirometry: Potential biomarkers in neuromuscular disorders

Author(s): A. Chehboun, N. Barrau, X. Maitre, P. Laforet, R. Carlier, M. Elhajjam
Published in: Clinical Radiology, Issue 92, 2026, ISSN 0009-9260
Publisher: Elsevier BV
DOI: 10.1016/J.CRAD.2025.107128

Inverse Uncertainty Quantification for Personalized Biomechanical Modeling: Application to Pulmonary Poromechanical Digital Twins

Author(s): A. Peyraut, M. Genet
Published in: Journal of Biomechanical Engineering, Issue 147, 2025, ISSN 0148-0731
Publisher: ASME International
DOI: 10.1115/1.4068578

Finite strain micro-poro-mechanics: Formulation and compared analysis with macro-poro-mechanics

Author(s): Mahdi Manoochehrtayebi, Aline Bel-Brunon, Martin Genet
Published in: International Journal of Solids and Structures, Issue 317, 2025, ISSN 0020-7683
Publisher: Elsevier BV
DOI: 10.1016/J.IJSOLSTR.2025.113354

Conference proceedings (1)

Deep Learning-Based Generation of 4D Reference Lung Volumes for Personalized Respiratory Function Assessment

Author(s): D. Vaurs and X. Maître and D. Rodríguez
Published in: IEEE International Conference on Engineering in Medicine and Biology Society (EMBC), 2025, ISSN 2473-2001
Publisher: IEEE Xplore