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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 287089, 9 pages
Research Article

Implementation of a Low-Cost Mobile Devices to Support Medical Diagnosis

Department of Computer Architecture and Automation, Universidad Complutense de Madrid, 28040 Madrid, Spain

Received 19 April 2013; Accepted 20 September 2013

Academic Editor: Anke Meyer-Baese

Copyright © 2013 Carlos García Sánchez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.