Rozemarijn Vliegenthart to Myocardial Perfusion Imaging
This is a "connection" page, showing publications Rozemarijn Vliegenthart has written about Myocardial Perfusion Imaging.
Connection Strength
4.032
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Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model. Int J Cardiovasc Imaging. 2017 Nov; 33(11):1821-1830.
Score: 0.518
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Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model using third generation dual-source CT. J Cardiovasc Comput Tomogr. 2017 Mar - Apr; 11(2):141-147.
Score: 0.507
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Dynamic CT myocardial perfusion imaging identifies early perfusion abnormalities in diabetes and hypertension: Insights from a multicenter registry. J Cardiovasc Comput Tomogr. 2016 Jul-Aug; 10(4):301-8.
Score: 0.483
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Development of an Ex Vivo, Beating Heart Model for CT Myocardial Perfusion. Biomed Res Int. 2015; 2015:412716.
Score: 0.453
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Expert opinion: How and when to perform CT myocardial perfusion imaging. J Thorac Imaging. 2015 May; 30(3):167-8.
Score: 0.449
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Early detection of obstructive coronary artery disease in the asymptomatic high-risk population: objectives and study design of the EARLY-SYNERGY trial. Am Heart J. 2022 04; 246:166-177.
Score: 0.179
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Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease. JACC Cardiovasc Imaging. 2022 01; 15(1):75-87.
Score: 0.175
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Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion. J Thorac Imaging. 2020 May; 35 Suppl 1:S58-S65.
Score: 0.159
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T1 reactivity as an imaging biomarker in myocardial tissue characterization discriminating normal, ischemic and infarcted myocardium. Int J Cardiovasc Imaging. 2019 Jul; 35(7):1319-1325.
Score: 0.148
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Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging. Eur J Radiol. 2019 Jan; 110:175-180.
Score: 0.144
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Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements. Int J Cardiovasc Imaging. 2019 Mar; 35(3):539-547.
Score: 0.142
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Quantitative myocardial perfusion evaluation with positron emission tomography and the risk of cardiovascular events in patients with coronary artery disease: a systematic review of prognostic studies. Eur Heart J Cardiovasc Imaging. 2018 10 01; 19(10):1179-1187.
Score: 0.142
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Disagreement between splenic switch-off and myocardial T1-mapping after caffeine intake. Int J Cardiovasc Imaging. 2018 Apr; 34(4):625-632.
Score: 0.134
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Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT. Eur Radiol. 2017 Sep; 27(9):3904-3912.
Score: 0.127
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Caffeine intake inverts the effect of adenosine on myocardial perfusion during stress as measured by T1 mapping. Int J Cardiovasc Imaging. 2016 Oct; 32(10):1545-53.
Score: 0.122
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Absolute Versus Relative Myocardial Blood Flow by Dynamic CT Myocardial Perfusion Imaging in Patients With Anatomic Coronary Artery Disease. AJR Am J Roentgenol. 2015 Jul; 205(1):W67-72.
Score: 0.114
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Iodine quantification based on rest / stress perfusion dual energy CT to differentiate ischemic, infarcted and normal myocardium. Eur J Radiol. 2019 Mar; 112:136-143.
Score: 0.036