Tele-Radiology, using medical image recovery methods based on visual and semantic content under grid architecture

A conventional Tele-Radiology system offers an infrastructure to share radiological data (images, medical reports, etc.), including professionals in the area, located in geographically remote locations, with the aim of evaluating, analyzing, diagnosing, and/or sharing clinical studies on cases of interest of interest, thus taking advantage of the specialized human resource. Teleradiology has allowed improving the management, control and monitoring of patients, expediting response processes, disease monitoring and treatment planning, because the radiologist can provide its services without being in the same geographical town of the patient. Additionally, it has allowed us to combine recent advances in mobile communications, high -speed network technologies, distribution and storage of large volumes of medical images, among others. The objective of this project is to design, implement and validate strategies that allow the recovery of images based on their visual and semantic content stored in medical image databases with applications on tele-radiology, assuming that the databases are distributed and under a Grid architecture. This system may be available to support both diagnosis and medical education. These recovered images will serve as visual information which could be used as a tool for supporting the formation of radiologists specializing in reading radiographs and training of them as for decision making about a particular clinical case.