Automated adaptive detection and reconstruction of quiescent cardiac phases in free-running whole-heart acquisitions using Synchronicity Maps from PHysiological mOtioN In Cine (SYMPHONIC) MRI
SYMPHONIC accurately detected quiescent cardiac phases in free-running data and resulted in high-quality whole-heart images despite the presence of HRV.
Authors
- Matthias Stuber (ORCID: https://orcid.org/0000-0001-9843-2028)
- Estelle Tenisch (ORCID: https://orcid.org/0000-0003-0994-3964)
- Jérôme Yerly (ORCID: https://orcid.org/0000-0003-4347-8613)
- Tobias Rutz (ORCID: https://orcid.org/0000-0001-5899-291X)
- Salim Aymeric Si-Mohamed (ORCID: https://orcid.org/0000-0003-0314-4010)
- Christopher Roy (ORCID: https://orcid.org/0000-0002-3111-8840)
- Milan Prša (ORCID: https://orcid.org/0000-0002-9483-7957)
- J. Bastiaansen
- Nemanja Masala (ORCID: https://orcid.org/0000-0003-1193-4557)
- Giulia M. C. Rossi Bongiolatti
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Lyon College (US)
- University Hospital of Bern (CH)
- Centre Hospitalier Universitaire Vaudois (CH)
- Hospices Civils de Lyon (FR)
- Centre d'Imagerie BioMedicale (CH)
- Hôpital Louis Pradel (FR)
- Institut National des Sciences Appliquées de Lyon (FR)
- University of Lausanne (CH)
Publication Details
- Journal
- Magnetic Resonance Materials in Physics Biology and Medicine
- Published
- 2025-08-19
- DOI
- https://doi.org/10.1007/s10334-025-01289-5
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Université de Lausanne