RT Journal Article
T1 A low cost matching motion estimation sensor based on the NIOS II microprocessor.
A1 González, Diego
A1 Botella Juan, Guillermo
A1 Meyer Baese, Uwe
A1 García Sánchez, Carlos
A1 Sanz, Concepción
A1 Prieto Matías, Manuel
A1 Tirado Fernández, José Francisco
AB 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.
PB MDPI AG
SN 1424-8220
YR 2012
FD 2012-10
LK https://hdl.handle.net/20.500.14352/44837
UL https://hdl.handle.net/20.500.14352/44837
LA eng
NO © 2012 by the authors.The authors would like to thank Altera for providing hardware and software under the University programs. This work was partially supported by Spanish research projects, TIN 2008-00508 and TIN 2012-32180.
NO CICYT, Spain
DS Docta Complutense
RD 8 jul 2025