No abstract

This paper presents a methodology to detect the central region of weld beads on petroleum pipelines in double wall double image (DWDI) radiographic images. The method is based on three steps: pre-processing (to isolate selected regions), optimization (to define the ellipse that best fits in selected region), and decision (to choose the best region). Results show that the Particle Swarm Optimization (PSO) algorithm converges satisfactorily to the selection of the region that is most similar to the central region of the weld on the optimization and decision steps (to balance the weights of the classifier). The scientific contribution of this research is the improvement of the method applied in the search of candidate regions through ellipses' attributes analysis.

There are a variety of medical imaging modalities available, although each modality focus into different aspects, for example: anatomical, physiological or geometrical information. This paper presents a new imaging modality (3D THERMO-SCAN) that combines anatomical computer tomography (CT) imaging slices, together with 2D infrared thermography images and 3D scanned shaped models of the area under study. Therefore, it is presented the 3D reconstructions involving a case study of a volunteer with bruxism. Some characteristics of bruxism are the hyperactivity of the chewing muscles, which changes the dynamics of microcirculation, also changing the correspondent skin's temperature. The emphasis is to show the corresponding structures, such as jaw/mandibular region that will produce either decrease or increase in temperature, which are related to bruxism and the associated use of an occlusal splint, respectively.

No abstract

Infrared images are very useful for providing physiological information, although the representation is two-dimensional. On the other hand, a 3D scanning system is able to generate precise 3D spatial models of the area under study. This paper presents a methodology for combining both imaging modalities into a single representation. The Structure from Motion (SfM) technique is used in order to find the correct infrared camera's positioning and rotations in the space. Then, those 2D infrared images generate a 3D SfM model. Following this stage, the SfM model is replaced by an accurate 3D model from a scanning system, which is wrapped around by the infrared images. The experiments performed with a volunteer's face have shown that the proposed methodology successfully reconstruct a unique 3D surface model, which is able to deliver potential clinical applications.