Processing Bone Fracture Image Before and after Surgery Using GPU

A fracture is the solution of continuity of bone tissue in any bone of the body occurs as a result of excessive stress that exceeds bone resistance, ie is the consequence of a single or multiple overload and occurs in milliseconds. The development of magnetic resonance imaging and computerized tomography have made it possible to know and evaluate the different pathologies of the human being more accurately. Edge detection is a fundamental tool in image medical processing, particularly in the areas of feature detection, which aim at identifying points in a digital image at which the image has discontinuities. In order to improve the computing speed, was used parallel computing which support NVIDIA GPU. This work presents an improved methodology for processing bone fracture images before and after surgery using segmentation and graphic accelerator cards to help the medical specialist in the analysis and evaluation of the images.