Elena Mazzini

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This study presents a geometric model and a computational algorithm for segmentation of ultrasound images. A partial differential equation (PDE)-based flow is designed in order to achieve a maximum likelihood segmentation of the target in the scene. The flow is derived as the steepest descent of an energy functional taking into account the density(More)
OBJECTIVES The aim of our study was to evaluate arterial embolism (AE) occurrence rates and predictors in patients suffering from bradycardia and wearing a pacemaker with antitachycardia pacing therapies. BACKGROUND Atrial fibrillation (AF) is associated with a high incidence of AE. METHODS A total of 725 patients (360 men, age 71 +/- 11 years) were(More)
BACKGROUND Automatic management of atrial stimulation by verification of atrial threshold (ACM) has recently been made feasible. We investigated circadian atrial threshold variability over the long term and the predictors of successful automatic atrial threshold measurement, in order to provide practical clues for programming ACM features, in such a way as(More)
This study presents a geometric model for segmentation of ultrasound images. A partial differential equation based flow is designed in order to achieve a maximum likelihood segmentation of the target in the scene. The flow is derived as the steepest descent of an energy functional taking into account the density probability distribution of the gray levels(More)
The purpose of this study was to evaluate the state-of-the-art of antimicrobial stewardship programmes (ASPs) in Emilia-Romagna, Italy. A self-compiled, 23-question, multiple-choice questionnaire, divided into eight sections, focusing on Public Health Trust (PHT) characteristics, multidisciplinary team, formulary restrictions, education, guidelines and(More)
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