M
Matthias Stuber
Researcher at University of Lausanne
Publications - 388
Citations - 14724
Matthias Stuber is an academic researcher from University of Lausanne. The author has contributed to research in topics: Magnetic resonance imaging & Coronary artery disease. The author has an hindex of 59, co-authored 367 publications receiving 13620 citations. Previous affiliations of Matthias Stuber include University of Bordeaux & Brigham and Women's Hospital.
Papers
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Journal ArticleDOI
Isotropic non-contrast whole-heart lumen only coronary MRA using local re-inversion and 2D-SENSE at 3 Tesla
TL;DR: Local re-inversion (LoReIn) labels the blood in the ascending aorta and LV, and acquires images after a labeling delay providing coronary MRA(cMRA) of the blood flow with excellent suppression of myocardial signal.
Journal ArticleDOI
Quantitative Magnetic Resonance Imaging of the epicardial adipose tissue with free-running cardiac Dixon
P. Daude,Thomas Troalen,A. Mackowiak,Emilien Royer,Davide Piccini,Jérôme Yerly,Josef Pfeuffer,Frank Kober,Sylviane Confort Gouny,Monique Bernard,Matthias Stuber,Jessica A. M. Bastiaansen,Stanislas Rapacchi +12 more
TL;DR: In this article , a free-running Dixon-MRI technique enabled high resolution mapping of proton density fat-fraction (PDFF) and R2*, free-breathing, in the heart.
Book ChapterDOI
Importance of residual stress and basal tone in healthy and pathological human coronary arteries
Jean Louis Martiel,Gérard Finet,Gerhard Holzapfel,Matthias Stuber,Matthias Stuber,Takeo Matsumoto,Roderic I. Pettigrew,Jacques Ohayon +7 more
TL;DR: The combined effect of BVT and in situ axial stretch ratio on the PS/S distribution in healthy human coronary arteries is elucidated by using an original hyperelastic homeostatic bilayered artery model accounting for the RS/S.
About the performance of multi-dimensional radial self-navigation incorporating compressed sensing for free-breathing coronary MRI
TL;DR: In this paper, an image-based self-navigation technique that incorporates compressed sensing and allowing for multi-dimensional motion correction was implemented on a 3T human scanner and compared to free-breathing coronary MRI, both with and without conventional respiratory navigators.
Proceedings ArticleDOI
Identifying different heart tissues from combined functional and viability MRI images
El-Sayed H. Ibrahim,Amy E. Spooner,Robert G. Weiss,Matthias Stuber,Dara L. Kraitchman,Nael F. Osman +5 more
TL;DR: The results showed the applicability of the proposed C-SENC MRI technique for identifying different heart tissues: normal myocardium, infarction, and blood.