The recent diffusion of web technologies in medical environments is deeply changing the work of radiologists and surgeons, allowing them to store and retrieve patient information, images but also reports and elaborated data. Among elaborated data, 3D reconstructions are becoming more popular because they allow, for example, a precise evaluation of the geometry of organs thus making the measurem...

Volumetric data is common in medicine, geology and engineering, but the O(n) complexity in data and algorithms has prevented the widespread use of volume graphics. Recently, 3D image processing and visualization algorithms have been parallelized and ported to graphics processing units. Today, medical diagnostics highly depends on volumetric imaging methods that must be visualized in real-time. ...

INTRODUCTION: Pre-pectoral direct to implant (DTI) breast reconstruction has historically been fraught with complications including flap necrosis, implant extrusion, and capsular contracture as well as extremely high rates of operative revisions. This may result from a number of factors, including the lack of an algorithmic approach, failure to predict postoperative migration of the implant, us...

Human motion can be seen as a type of moving texture pattern. In this paper, we propose a novel approach for activity analysis by describing human activities with texture features. Our approach extracts spatially enhanced local binary pattern (LBP) histograms from temporal templates (Motion History Images and Motion Energy Images) and models their temporal behavior with hidden Markov models. Th...

Introduction: Biodistribution study in animal models bearing tumors is one of the most important procedures in evaluation of fractional uptake of radiopharmaceuticals in the tumor and non-tumor organs. The aim of this study was to develop a new software-based method to determine activities that accumulate in the main organs as well as the tumor based on scintigraphy images, thereby obviating th...