Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

© Springer International Publishing Switzerland 2016. Quantitative 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.

Original publication





Book title

Advances in Intelligent Systems and Computing

Publication Date





105 - 110