Riccardo Favilla

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The aim of this work is to introduce and design image processing methods for the quantitative analysis of epicardial fat by using cardiac CT imaging.Indeed, epicardial fat has recently been shown to correlate with cardiovascular disease, cardiovascular risk factors and metabolic syndrome. However, many concerns still remain about the methods for measuring(More)
The purpose of this work is twofold: (i) to develop a CAD system for the assessment of emphysema by digital chest radiography and (ii) to test it against CT imaging. The system is based on the analysis of the shape of lung silhouette as imaged in standard chest examination. Postero-anterior and lateral views are processed to extract the contours of the lung(More)
The face reveals the healthy status of an individual, through a combination of physical signs and facial expressions. The project SEMEOTICONS is translating the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, images, and 3D scans of the face. SEMEOTICONS is developing a multisensory(More)
In modern medicine signs derivable from face observation remain an important part of the physical examination that, together with the anamnesis, constitutes the basis for a rational decision-making. Therefore, face semiotics may be considered as a potential source of information for obtaining markers of obesity, metabolomics, cardiovascular homeostasis and(More)
An invasive cardiology department produces an intense and heterogeneous information flow. Our Institute manages all the activities yearly performed (700 diagnostic and 300 interventional procedures) through a large database allowing a real time tracing of the work process features (waiting list, procedure protocols, medical reports, images file,(More)
A method to quantify the regional contrast enhancement as imaged during MDCT coronary angiography was developed. The procedure is based on the following steps: 1) Long axis reformatting and interactive selection of ventricular volume; 2) Normalization of image gray levels; 3) Extraction of the LV cavity by thresholding and blob growing; 4) LV segmentation(More)
BACKGROUND Several studies have focused on the role of epicardial fat in the pathogenesis of cardiovascular disease (CVD). The main purpose of the study was to evaluate a computerized method for the quantitative analysis of epicardial fat volume (EFV) by non-contrast cardiac CT (NCT) for coronary calcium scan and coronary CT angiography (coronary CTA). (More)