Title |
Quantitative assessment of magnetic resonance derived myocardial perfusion measurements using advanced techniques: microsphere validation in an explanted pig heart system
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Published in |
Critical Reviews in Diagnostic Imaging, October 2014
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DOI | 10.1186/s12968-014-0082-0 |
Pubmed ID | |
Authors |
Andreas Schuster, Niloufar Zarinabad, Masaki Ishida, Matthew Sinclair, Jeroen PHM van den Wijngaard, Geraint Morton, Gilion LTF Hautvast, Boris Bigalke, Pepijn van Horssen, Nicolas Smith, Jos AE Spaan, Maria Siebes, Amedeo Chiribiri, Eike Nagel |
Abstract |
Cardiovascular Magnetic Resonance (CMR) myocardial perfusion imaging has the potential to evolve into a method allowing full quantification of myocardial blood flow (MBF) in clinical routine. Multiple quantification pathways have been proposed. However at present it remains unclear which algorithm is the most accurate. An isolated perfused, magnetic resonance (MR) compatible pig heart model allows very accurate titration of MBF and in combination with high-resolution assessment of fluorescently-labeled microspheres represents a near optimal platform for validation. We sought to investigate which algorithm is most suited to quantify myocardial perfusion by CMR at 1.5 and 3 Tesla using state of the art CMR perfusion techniques and quantification algorithms. |
X Demographics
Geographical breakdown
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United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
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Netherlands | 1 | 2% |
United States | 1 | 2% |
Unknown | 43 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 10 | 22% |
Researcher | 8 | 17% |
Other | 3 | 7% |
Lecturer | 3 | 7% |
Student > Master | 3 | 7% |
Other | 9 | 20% |
Unknown | 10 | 22% |
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Engineering | 7 | 15% |
Agricultural and Biological Sciences | 2 | 4% |
Physics and Astronomy | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 4% |
Unknown | 9 | 20% |