Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.

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...

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Detalles Bibliográficos
Autores: González, Diego, Botella Juan, Guillermo, García, Carlos, Prieto Matías, Manuel, Tirado Fernández, José Francisco
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/34969
Acceso en línea:https://hdl.handle.net/20.500.14352/34969
Access Level:acceso abierto
Palabra clave:004
Motion estimation
Search algorithm.
Informática (Informática)
1203.17 Informática
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oai_identifier_str oai:docta.ucm.es:20.500.14352/34969
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spelling Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.González, DiegoBotella Juan, GuillermoGarcía, CarlosPrieto Matías, ManuelTirado Fernández, José Francisco004Motion estimationSearch algorithm.Informática (Informática)1203.17 InformáticaMedical 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.Springer International Publishing AGUniversidad Complutense de Madrid20132013-01-0120132013-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/34969reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/349692026-06-02T12:44:21Z
dc.title.none.fl_str_mv Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
title Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
spellingShingle Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
González, Diego
004
Motion estimation
Search algorithm.
Informática (Informática)
1203.17 Informática
title_short Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
title_full Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
title_fullStr Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
title_full_unstemmed Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
title_sort Acceleration of block-matching algorithms using a custom instruction-based paradigm on a Nios II microprocessor.
dc.creator.none.fl_str_mv González, Diego
Botella Juan, Guillermo
García, Carlos
Prieto Matías, Manuel
Tirado Fernández, José Francisco
author González, Diego
author_facet González, Diego
Botella Juan, Guillermo
García, Carlos
Prieto Matías, Manuel
Tirado Fernández, José Francisco
author_role author
author2 Botella Juan, Guillermo
García, Carlos
Prieto Matías, Manuel
Tirado Fernández, José Francisco
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 004
Motion estimation
Search algorithm.
Informática (Informática)
1203.17 Informática
topic 004
Motion estimation
Search algorithm.
Informática (Informática)
1203.17 Informática
description 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.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01
2013
2013-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/34969
url https://hdl.handle.net/20.500.14352/34969
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer International Publishing AG
publisher.none.fl_str_mv Springer International Publishing AG
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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