%0 Journal Article
%A González, Diego
%A Botella Juan, Guillermo
%A Meyer Baese, Uwe
%A García Sánchez, Carlos
%A Sanz, Concepción
%A Prieto Matías, Manuel
%A Tirado Fernández, José Francisco
%T A low cost matching motion estimation sensor based on the NIOS II microprocessor.
%D 2012
%@ 1424-8220
%U https://hdl.handle.net/20.500.14352/44837
%X Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics.
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