Magnetic Resonance quantification of myocardial perfusion reserve using Fermi function model: comparison to visual qualification
Tomasz Kubik , Konrad Werys , Krzysztof Mikołajczyk , Śpiewak Mateusz , Petryka-Mazurkiewicz Joanna , Miśko Jolanta
AbstractQuantitative perfusion assessment using magnetic resonance imaging (MRI) is one of the methods used in Coronary Artery Disease (CAD) diagnosis. In this study we investigated the possibility of performing perfusion quantification using Fermi function modeling on the data acquired in the way typical for visual perfusion assessment with high dose of contrast agent. 25 patients with CAD symptoms have been examined by MRI in stress and rest condition. Image processing and numerical model have been implemented to quantify myocardial perfusion reserve (MPR). The results have been compared with the visual perfusion reserve qualification by an experienced physician. Accuracy of quantitative method in classification perfusion in myocardial segments was below 80 %, meaning this method in this setup is not yet ready for clinical applications.
|Publication size in sheets||0.5|
|Book||Jabłoński Ryszard, Březina Tomáš (eds.): Advanced Mechatronics Solutions, Advances in Intelligent Systems and Computing, 2016, Springer, ISBN 978-3-319-23921-7, 668 p., DOI:10.1007/978-3-319-23923-1|
|Keywords in English||Cardiac Magnetic Resonance Myocardial Perfusion Reserve Fermi deconvolution Coronary Artery Disease|
|Score|| = 15.0, 27-03-2017, BookChapterSeriesAndMatConfByIndicator|
= 15.0, 27-03-2017, BookChapterSeriesAndMatConfByIndicator
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