Processing bone fracture image before and after surgery using GPU

Luis Cadena; Franklin Cadena; Alberto Albuja; Patricio Castillo; Gustavo Cadena

doi:10.1117/12.2615691

27 October 2021 Processing bone fracture image before and after surgery using GPU

Luis Cadena, Franklin Cadena, Alberto Albuja, Patricio Castillo, Gustavo Cadena

Proceedings Volume 11925, Biomedical Imaging and Sensing Conference 2021; 119250Y (2021) https://doi.org/10.1117/12.2615691
Event: SPIE Technologies and Applications of Structured Light, 2021, Online, Japan

Abstract

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.

Citation Download Citation

Luis Cadena, Franklin Cadena, Alberto Albuja, Patricio Castillo, and Gustavo Cadena "Processing bone fracture image before and after surgery using GPU", Proc. SPIE 11925, Biomedical Imaging and Sensing Conference 2021, 119250Y (27 October 2021); https://doi.org/10.1117/12.2615691

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