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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.

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MR Coronary Angiography with the New Intravascular Contrast Agent B-22956/1: First Human Experience

TL;DR: Assessment of extent and duration of TI-shortening in blood and myocardium as well as the visualization of the coronary artery tree in freebreathing MR Coronary Angiography of normal volunteers is aimed at determining the clinical potential of this agent.
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Motion compensated whole-heart coronary cardiovascular magnetic resonance angiography using focused navigation (fNAV).

TL;DR: In this paper, a focused navigation (fNAV) approach was proposed to improve the robustness and quality of 3D radial CCMRA by incorporating both 3D motion information and non-rigid intra-acquisition correction of the data into a framework called focused navigation.
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Flow targeted 3D steady-state free-precession coronary MR angiography: comparison of three different imaging approaches.

TL;DR: Inflow SSFP yielded highest SNR, CNR and vessel sharpness and may prove useful as a fast and efficient approach for assessing proximal and mid vessel coronary blood flow, whereas requiring less planning skills than projection SSFP or LoReIn SSFP.
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Vessel centerline tracking and boundary segmentation in coronary MRA with minimal manual interaction

TL;DR: This work presents a modular approach based on level set methods to track the vessel centerline, segment the vessel boundaries, and measure transversal area using two user-selected endpoints in each coronary of interest.
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Free-breathing inner-volume black-blood imaging of the human heart using two-dimensionally selective local excitation at 3 T.

TL;DR: With this method, small field of view imaging of a user‐specified region in the human thorax is feasible, scanning becomes more time efficient, motion artifacts can be minimized, and additional flexibility in the choice of imaging parameters can be exploited.