Nadjia Kachenoura

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BACKGROUND Arterial stiffness is considered as an independent predictor of cardiovascular mortality, and is increasingly used in clinical practice. This study aimed at evaluating the consistency of the automated estimation of regional and local aortic stiffness indices from cardiovascular magnetic resonance (CMR) data. RESULTS Forty-six healthy subjects(More)
BACKGROUND Early detection of diastolic dysfunction is crucial for patients with incipient heart failure. Although this evaluation could be performed from phase-contrast (PC) cardiovascular magnetic resonance (CMR) data, its usefulness in clinical routine is not yet established, mainly because the interpretation of such data remains mostly based on manual(More)
OBJECTIVE To evaluate if color-coded parametric images could help subjective visual analysis and improve interobserver agreement in the evaluation of segmental contraction (SC) in CMR. BACKGROUND Routine evaluation of SC in CMR remains mostly based on visual analysis of cine loops and subsequent interobserver variability remains a potential drawback. (More)
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 [1]. Visual interpretation is the most commonly used method. This study aims to segment the (DE) images prior to the estimation of(More)
The strain values extracted from steady-state free-precession (SSFP) and phase contrast (PC) images acquired with a 1.5T scanner on a compliant flow phantom and within the thoracic aorta of 52 healthy subjects were compared. Aortic data were acquired perpendicular to the aorta at the level of the pulmonary artery bifurcation. Cross sectional areas were(More)
An automated method was developed in echocardio-graphy for defining regional wall motion score (RWMS) using a 4 point scale. Eighty-six time image sequences were analyzed. The left ventricle was divided into 7 segments and the reference RWMS was given by experts. The image sequences were processed by Factor Analysis of the Left Ventricle in Echocardiography(More)
A new automatic regional wall motion scoring approach based on parametric imaging was provided. Black and white (B/W) echocardiography sequences were summarized into amplitude and time parametric images using the parametric analysis of main motion (PAMM) with new constraints on the transition times between muscle and cavity. Then segmental wall motion(More)