The purpose of this study is to validate a full-automated post-processing software for quantitative perfusion of the myocardium with magnetic resonance imaging.
Cardiac magnetic resonance (CMR) imaging is a wide available technique for the diagnosis of myocardial ischemia. However, myocardial first-pass perfusion evaluation has been limited due to the moderate accuracy of the currently available qualitative and semiquantitative methods used to assess myocardial perfusion, and due to the lack of efficient absolute quantitative methods. Some CMR techniques and post-processing mathematical models have been developed for quantitative measurement of myocardial blood flow reserve with perfusion CMR under pharmacological stress. Measurement of these parameters with CMR have been shown to increase the accuracy of CMR in diagnosing myocardial ischemia, but most of these methods present technical challenges and have unreasonably time consuming post-processing. The aim of this study is to validate a full automated post-processing software for first pass perfusion CMR images that results in automated generated quantitative perfusion color maps.
Study Type
OBSERVATIONAL
Enrollment
66
Department of Molecular Medicine and Surgery, Karolinska Institutet
Stockholm, Sweden
Accuracy of global myocardial first pass perfusion in mL/min/g measured in automatic post-processed color maps compared with myocardial blood volume measured in the coronary sinus (mL/min) divided by the total left ventricle mass (g)
Time frame: Through study completion, an average of 9 months
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