A GPU-accelerated fuzzy method for real-time CT volume filtering

[EN] During acquisition and reconstruction, medical images may become noisy and lose diagnostic quality. In the case of CT scans, obtaining less noisy images results in a higher radiation dose being administered to the patient. Filtering techniques can be utilized to reduce radiation without losing...

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Autores: Tendero-Delicado, Celia|||0009-0002-9476-9488, CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908, Vidal-Gimeno, Vicente-Emilio|||0000-0002-2384-7015, Arnal García, Josep, Blanco-Pérez, E
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/229174
Acceso en línea:https://riunet.upv.es/handle/10251/229174
Access Level:acceso abierto
Palabra clave:GPU
CT scan
Filtering techniques
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
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network_acronym_str ES
network_name_str España
repository_id_str
spelling A GPU-accelerated fuzzy method for real-time CT volume filteringTendero-Delicado, Celia|||0009-0002-9476-9488CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908Vidal-Gimeno, Vicente-Emilio|||0000-0002-2384-7015Arnal García, JosepBlanco-Pérez, EGPUCT scanFiltering techniques03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades[EN] During acquisition and reconstruction, medical images may become noisy and lose diagnostic quality. In the case of CT scans, obtaining less noisy images results in a higher radiation dose being administered to the patient. Filtering techniques can be utilized to reduce radiation without losing diagnosis capabilities. The objective in this work is to obtain an implementation of a filter capable of processing medical images in real-time. To achieve this we have developed several filter methods based on fuzzy logic, and their GPU implementations, to reduce mixed Gaussian-impulsive noise. These filters have been developed to work in attenuation coefficients so as to not lose any information from the CT scans. The testing volumes come from the Mayo clinic database and consist of CT volumes at full and at simulated low dose. The GPU parallelizations reach speedups of over 2700 and take less than 0.1 seconds to filter more than 300 slices. In terms of quality the filter is competitive with other state of the art algorithmic and AI filters. The proposed method obtains good performance in terms of quality and the parallelization results in real-time filtering.This research has been supported by the TED project Grant Reference TED2021-131091BI00 funded by MCIN/AEI/ 10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR . Funding for open access charge: CRUE Universitat Politècnica de València.Public Library of ScienceDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaEuropean CommissionAGENCIA ESTATAL DE INVESTIGACIONUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/229174reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 TED2021-131091B-I00 PROCESAMIENTO DIGITAL DE IMAGENES DE TC MEDIANTE TECNICAS DE HPC E IA.open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2291742026-06-13T07:49:27Z
dc.title.none.fl_str_mv A GPU-accelerated fuzzy method for real-time CT volume filtering
title A GPU-accelerated fuzzy method for real-time CT volume filtering
spellingShingle A GPU-accelerated fuzzy method for real-time CT volume filtering
Tendero-Delicado, Celia|||0009-0002-9476-9488
GPU
CT scan
Filtering techniques
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
title_short A GPU-accelerated fuzzy method for real-time CT volume filtering
title_full A GPU-accelerated fuzzy method for real-time CT volume filtering
title_fullStr A GPU-accelerated fuzzy method for real-time CT volume filtering
title_full_unstemmed A GPU-accelerated fuzzy method for real-time CT volume filtering
title_sort A GPU-accelerated fuzzy method for real-time CT volume filtering
dc.creator.none.fl_str_mv Tendero-Delicado, Celia|||0009-0002-9476-9488
CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908
Vidal-Gimeno, Vicente-Emilio|||0000-0002-2384-7015
Arnal García, Josep
Blanco-Pérez, E
author Tendero-Delicado, Celia|||0009-0002-9476-9488
author_facet Tendero-Delicado, Celia|||0009-0002-9476-9488
CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908
Vidal-Gimeno, Vicente-Emilio|||0000-0002-2384-7015
Arnal García, Josep
Blanco-Pérez, E
author_role author
author2 CHILLARÓN-PÉREZ, MÓNICA|||0000-0002-7611-8908
Vidal-Gimeno, Vicente-Emilio|||0000-0002-2384-7015
Arnal García, Josep
Blanco-Pérez, E
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
European Commission
AGENCIA ESTATAL DE INVESTIGACION
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv GPU
CT scan
Filtering techniques
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
topic GPU
CT scan
Filtering techniques
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
description [EN] During acquisition and reconstruction, medical images may become noisy and lose diagnostic quality. In the case of CT scans, obtaining less noisy images results in a higher radiation dose being administered to the patient. Filtering techniques can be utilized to reduce radiation without losing diagnosis capabilities. The objective in this work is to obtain an implementation of a filter capable of processing medical images in real-time. To achieve this we have developed several filter methods based on fuzzy logic, and their GPU implementations, to reduce mixed Gaussian-impulsive noise. These filters have been developed to work in attenuation coefficients so as to not lose any information from the CT scans. The testing volumes come from the Mayo clinic database and consist of CT volumes at full and at simulated low dose. The GPU parallelizations reach speedups of over 2700 and take less than 0.1 seconds to filter more than 300 slices. In terms of quality the filter is competitive with other state of the art algorithmic and AI filters. The proposed method obtains good performance in terms of quality and the parallelization results in real-time filtering.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/229174
url https://riunet.upv.es/handle/10251/229174
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 TED2021-131091B-I00 PROCESAMIENTO DIGITAL DE IMAGENES DE TC MEDIANTE TECNICAS DE HPC E IA.
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
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
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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