Robust motion estimation on a low-power multi-core DSP
| dc.contributor.author | Igual Peña, Francisco Daniel | |
| dc.contributor.author | Botella Juan, Guillermo | |
| dc.contributor.author | García Sánchez, Carlos | |
| dc.contributor.author | Prieto Matías, Manuel | |
| dc.contributor.author | Tirado Fernández, José Francisco | |
| dc.date.accessioned | 2023-06-19T14:58:44Z | |
| dc.date.available | 2023-06-19T14:58:44Z | |
| dc.date.issued | 2013 | |
| dc.description | © Springer International Publishing AG. This work has been supported by Spanish Projects CICYT-TIN 2008/508 and TIN2012-32180. | |
| dc.description.abstract | 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. | |
| dc.description.department | Sección Deptal. de Arquitectura de Computadores y Automática (Físicas) | |
| dc.description.faculty | Fac. de Ciencias Físicas | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | CICYT, Spain | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/35041 | |
| dc.identifier.doi | 10.1186/1687-6180-2013-99 | |
| dc.identifier.issn | 1687-6180 | |
| dc.identifier.officialurl | http://dx.doi.org/10.1186/1687-6180-2013-99 | |
| dc.identifier.relatedurl | http://www.asp.eurasipjournals.com/ | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/35020 | |
| dc.journal.title | Eurasip journal on advances in signal processing | |
| dc.language.iso | eng | |
| dc.publisher | Springer International Publishing AG | |
| dc.relation.projectID | TIN 2008/508 | |
| dc.relation.projectID | TIN2012-32180 | |
| dc.rights | Atribución 3.0 España | |
| dc.rights.accessRights | open access | |
| dc.rights.uri | https://creativecommons.org/licenses/by/3.0/es/ | |
| dc.subject.cdu | 004 | |
| dc.subject.keyword | Optical-flow | |
| dc.subject.keyword | Framework | |
| dc.subject.ucm | Informática (Informática) | |
| dc.subject.unesco | 1203.17 Informática | |
| dc.title | Robust motion estimation on a low-power multi-core DSP | |
| dc.type | journal article | |
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