Deformable templates for tracking and analysis of intravascular ultrasound sequences

Deformable Template models are first applied to track the inner wall of coronary arteries in intravascular ultrasound sequences, mainly in the assistance to angioplasty surgery. A circular template is used for initializing an elliptical deformable model to track wall deformation when inflating a balloon placed at the tip of the catheter. We define a new energy function for driving the behavior of the template and we test its robustness both in real and synthetic images. Finally we introduce a framework for learning and recognizing spatio-temporal geometric constraints based on Principal Component Analysis (eigenconstraints).

Bayesian models for finding and grouping junctions

In this paper, we propose two Bayesian methods for detecting and grouping junctions. Our junction detection method evolves from the Kona approach, and it is based on a competitive greedy procedure inspired in the region competition method. Then, junction grouping is accomplished by finding connecting paths between pairs of junctions. Path searching is performed by applying a Bayesian A* algorithm that has been recently proposed. Both methods are efficient and robust, and they are tested with synthetic and real images.

Ecosustainability as Ideology

In this paper, the authors settle down a systemic theory of the ideologies in one first approach, distinguishing between the Structural Base and the Superstructure, settling down projections and images between both. Distinction between material structure (Structural Base SB) and ideal or cultural Superstructure is common. This dichotomy translates to social sphere the old religious and philosophical dualism between the body and the soul. In fact, such separation between body and soul, between material structure and ideal and cultural superstructure does not exist. It is a cybernetic process with mathematical and logical images and projections. We consider the Eco-sustainability as an ediodynamic ideology in according to Waldorf’s classification.