Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems

6 páginas, 2 figuras, 4 tablas

Detalles Bibliográficos
Autores: Romero-Laorden, David, Martín-Arguedas, Carlos Julián, Villazón-Terrazas, Javier, Martínez-Graullera, Óscar, Santos Peñas, Matilde, Gutierrez-Fernández, César, Jiménez Martín, Ana
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/134624
Acceso en línea:http://hdl.handle.net/10261/134624
Access Level:acceso abierto
Palabra clave:GPGPU
ultrasound image
Beamforming
Array transducer
id ES_630bf3ea2cb2e3f4ebb4614a7c0c081e
oai_identifier_str oai:digital.csic.es:10261/134624
network_acronym_str ES
network_name_str España
repository_id_str
spelling Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core SystemsRomero-Laorden, DavidMartín-Arguedas, Carlos JuliánVillazón-Terrazas, JavierMartínez-Graullera, ÓscarSantos Peñas, MatildeGutierrez-Fernández, CésarJiménez Martín, AnaGPGPUultrasound imageBeamformingArray transducer6 páginas, 2 figuras, 4 tablasDeveloping new imaging methods needs to establish some proofs of concept before implementing them on real -time scenarios. Nowadays, the high computational power reached by multi-core CPUs and GPUs have driven the development of software-based beamformers. Taking this into account, a library for the fast generation of ultrasound images is presented. It is based on Synthetic Aperture Imaging Techniques (SAFT) and it is fast because of the use of parallel computing techniques. Any kind of transducers as well as SAFT techniques can be defined although it includes some pre-built SAFT methods like 2R -SAFT and TFM. Furthermore, 2D and 3D imaging (slicebased or full volume computation) is supported along with the ability to generate both rectangular and angular images. For interpolation, linear and polynomial schemes can be chosen. The versatility of the library is ensured by interfacing it to Matlab, Python and any programming language over different operating systems. On a standard PC equipped with a single NVIDIA Quadro 4000 (256 cores), the library is able to calculate 262,144 pixels in ≈ 105 ms using a linear transducer with 64 elements, and 2,097,152 voxels in ≈ 5 seconds using a matrix transducer with 121 elements when TFM is applied.This work has been supported by the Spanish Government and the University of Alcalá under projects DPI2010- 19376 and CCG2014/EXP -084, respectively.Peer reviewedScientific Research PublishingMinisterio de Economía y Competitividad (España)Universidad de AlcaláConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201620162015info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/134624reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.4236/jamp.2015.38131Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1346242026-05-22T06:33:51Z
dc.title.none.fl_str_mv Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
title Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
spellingShingle Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
Romero-Laorden, David
GPGPU
ultrasound image
Beamforming
Array transducer
title_short Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
title_full Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
title_fullStr Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
title_full_unstemmed Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
title_sort Cheetah: A Library for Parallel Ultrasound Beamforming in Multi -Core Systems
dc.creator.none.fl_str_mv Romero-Laorden, David
Martín-Arguedas, Carlos Julián
Villazón-Terrazas, Javier
Martínez-Graullera, Óscar
Santos Peñas, Matilde
Gutierrez-Fernández, César
Jiménez Martín, Ana
author Romero-Laorden, David
author_facet Romero-Laorden, David
Martín-Arguedas, Carlos Julián
Villazón-Terrazas, Javier
Martínez-Graullera, Óscar
Santos Peñas, Matilde
Gutierrez-Fernández, César
Jiménez Martín, Ana
author_role author
author2 Martín-Arguedas, Carlos Julián
Villazón-Terrazas, Javier
Martínez-Graullera, Óscar
Santos Peñas, Matilde
Gutierrez-Fernández, César
Jiménez Martín, Ana
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Universidad de Alcalá
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv GPGPU
ultrasound image
Beamforming
Array transducer
topic GPGPU
ultrasound image
Beamforming
Array transducer
description 6 páginas, 2 figuras, 4 tablas
publishDate 2015
dc.date.none.fl_str_mv 2015
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/134624
url http://hdl.handle.net/10261/134624
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.4236/jamp.2015.38131
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Scientific Research Publishing
publisher.none.fl_str_mv Scientific Research Publishing
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869409543171080192
score 15.812429

Similares en LA Referencia