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The evaluation of diastolic function from phase-contrast (PC) Magnetic Resonance (MR) data in clinical routine is not yet established. Thus, our goal was to develop a reproducible process to analyze PC data. These developments were used to estimate mitral flow and myocardial velocities from PC data of 40 controls. Besides, the reproducibility was assessed on a sub-group of 20 subjects. Transmitral...
Routine evaluation of the regional ventricular function in cardiac magnetic resonance (CMR) remains mostly based on visual analysis of cine loops and subsequent interobserver variability remains a potential drawback for diagnosis and follow-up of coronary artery disease (CAD). In this paper we propose a method that ensures automated assessment of normalized mean contraction times and radial endocardial...
In this paper we present an automatic approach to segment cardiac magnetic resonance (CMR) images. A preprocessing step that consists in filtering the image using connected operators (area opening and closing filters) is applied in order to homogenize the cavity and solve the problems due to the papillary muscles. Thereby the GVF snake algorithm is applied with one point clicked in the cavity as initialization...
Evaluating myocardial viability is an important prognostic factor in the follow-up of infarctions. Delayed enhancement (DE) perfusion images in MRI have been shown to be very valuable in the evaluation of myocardial viability. Visual interpretation is the most commonly used method. This study aims to segment the (DE) images prior to the estimation of the extent of infarcted tissue. Segmenting the...
The extent and degree of myocardial injury after an ischemic event are strong predictors of patient's outcome. After acute infarction, delayed contrast enhancement magnetic resonance imaging allows clinicians to distinguish between viable and non-viable myocardium and can delineate with high precision the infarcted tissue. The aim of this study is to provide a quantitative method based on the fuzzy...
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