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El-Sayed H. Ibrahim

Researcher at Medical College of Wisconsin

Publications -  97
Citations -  1228

El-Sayed H. Ibrahim is an academic researcher from Medical College of Wisconsin. The author has contributed to research in topics: Magnetic resonance imaging & Imaging phantom. The author has an hindex of 15, co-authored 93 publications receiving 1031 citations. Previous affiliations of El-Sayed H. Ibrahim include University of Oxford & Johns Hopkins University.

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Journal ArticleDOI

Myocardial tagging by Cardiovascular Magnetic Resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications

TL;DR: Different developments in pulse sequences and related image processing techniques are described along with the necessities that led to their invention, which makes this article easy to read and the covered techniques easy to follow.
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Measuring aortic pulse wave velocity using high-field cardiovascular magnetic resonance: comparison of techniques

TL;DR: While each of the studied methods has its own advantages and disadvantages, at high field strength, the TT and XC methods result in closer and more reproducible aortic PWV measurements, and the associated image processing requires less user interaction, than in the QA method.
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Real-time fast strain-encoded magnetic resonance imaging to evaluate regional myocardial function at 3.0 Tesla: comparison to conventional tagging.

TL;DR: The utility of the real‐time technique fast strain‐encoded magnetic resonance imaging (fast‐SENC) for the quantification of regional myocardial function to conventional tagged magnetic resonance Imaging (MRI) is compared.
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Magnetic resonance imaging in patients with cardiac implanted electronic devices: Focus on contraindications to magnetic resonance imaging protocols

TL;DR: Using a pre-specified protocol, cardiac and non-cardiac MRIs were performed in CIED patients with pacemaker dependency, abandoned leads, or depleted batteries without occurrence of major adverse events.
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Strain-encoding cardiovascular magnetic resonance for assessment of right-ventricular regional function

TL;DR: SENC CMR allows for rapid quantification of RV regional function with low intra- and inter-observer variabilities, which could permit accurate quantifying of regional strain in patients with RV dysfunction.