Content-Based 3D cardiac images retrieval

Three-dimensional models provide a more complete view about objects analyzed by considering their depth. Considering the growth of three-dimensional models currently available in Health area, it is necessary to implement ecient query mechanisms that oer alternative ways to locate cases of patients with certain characteristics. Providing a images historical similar to those belonging to the patient can aided the diagnosis oering similar clinical cases. This project aimed to develop techniques to recovery three-dimensional medical images based on their content and apply them in the medical context, specically in the Cardiology area. This project intended to contribute to the detection of anomalies making available similar clinical cases, throught a prototype of query system. To achieve the proposed objectives the following phases are planned: literature review, denition of the database that will be used, extractors and similarity functions implementation, cons-truction of a retrieval system prototype, conduction of tests with medical imaging and analysis of results. The results obtained with the methods developed were positive, in some tests were achieved 90% of accuracy in the search return. It was found that descrip-tors that took into account the spatial information of the deformations obtained a better result than the methods which analyzed the models from a global perspective. These results conrmed the potential of content based retrieval has in the medical context to assist in diagnosis composition as well as contributing to the Computing eld in the sense of had developed content based retrieval methods on three-dimensional models domain. (AU)