Linear filtering method for bone structures in computerized ultrasonic tomography images
Computerized ultrasonic tomography is an important radiological technique because of its non-ionizing properties. However, it has been the subject of several studies due to the complexity of its visualization. In this work, a Ram-Lak filter is implemented in the Radon domain to reduce the noise leve...
- Autores:
-
Malagón Torres, Juan Sebastian
Avendaño Perez, Jonathan
Prieto, Flavio Augusto
Lasaygues, Philippe
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/5170
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/5170
https://doi.org/10.1109/STSIVA.2019.8730223
- Palabra clave:
- Ram-Lak filter
Radon transform
Computed ultrasonic tomography
- Rights
- openAccess
- License
- Acceso abierto
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| dc.title.spa.fl_str_mv |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| dc.title.translated.spa.fl_str_mv |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| title |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| spellingShingle |
Linear filtering method for bone structures in computerized ultrasonic tomography images Ram-Lak filter Radon transform Computed ultrasonic tomography |
| title_short |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| title_full |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| title_fullStr |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| title_full_unstemmed |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| title_sort |
Linear filtering method for bone structures in computerized ultrasonic tomography images |
| dc.creator.fl_str_mv |
Malagón Torres, Juan Sebastian Avendaño Perez, Jonathan Prieto, Flavio Augusto Lasaygues, Philippe |
| dc.contributor.author.none.fl_str_mv |
Malagón Torres, Juan Sebastian Avendaño Perez, Jonathan Prieto, Flavio Augusto Lasaygues, Philippe |
| dc.subject.keywords.spa.fl_str_mv |
Ram-Lak filter Radon transform Computed ultrasonic tomography |
| topic |
Ram-Lak filter Radon transform Computed ultrasonic tomography |
| description |
Computerized ultrasonic tomography is an important radiological technique because of its non-ionizing properties. However, it has been the subject of several studies due to the complexity of its visualization. In this work, a Ram-Lak filter is implemented in the Radon domain to reduce the noise levels in the images and facilitate their observation. Results obtained were superior to those reported in the state of the art with an average improvement of 8.1512 dB. |
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2020 |
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2020-12-03T19:51:47Z |
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2020-12-03T19:51:47Z |
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Artículo de revista |
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http://hdl.handle.net/20.500.12495/5170 |
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https://doi.org/10.1109/STSIVA.2019.8730223 |
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instname:Universidad El Bosque |
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reponame:Repositorio Institucional Universidad El Bosque |
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http://hdl.handle.net/20.500.12495/5170 https://doi.org/10.1109/STSIVA.2019.8730223 |
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instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofseries.spa.fl_str_mv |
2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings, April 2019, Article number 8730223 |
| dc.relation.uri.none.fl_str_mv |
https://ieeexplore.ieee.org/document/8730223 |
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Acceso abierto |
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http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess Acceso abierto |
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2019 |
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openAccess |
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IEEE |
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Malagón Torres, Juan SebastianAvendaño Perez, JonathanPrieto, Flavio AugustoLasaygues, Philippe2020-12-03T19:51:47Z2020-12-03T19:51:47Zhttp://hdl.handle.net/20.500.12495/5170https://doi.org/10.1109/STSIVA.2019.8730223instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengIEEE2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings, April 2019, Article number 8730223https://ieeexplore.ieee.org/document/8730223Linear filtering method for bone structures in computerized ultrasonic tomography imagesLinear filtering method for bone structures in computerized ultrasonic tomography imagesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Ram-Lak filterRadon transformComputed ultrasonic tomographyComputerized ultrasonic tomography is an important radiological technique because of its non-ionizing properties. However, it has been the subject of several studies due to the complexity of its visualization. In this work, a Ram-Lak filter is implemented in the Radon domain to reduce the noise levels in the images and facilitate their observation. Results obtained were superior to those reported in the state of the art with an average improvement of 8.1512 dB.Acceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessAcceso abierto2019ORIGINALMalagón_Torres_Juan_Sebastian_2019.pdfMalagón_Torres_Juan_Sebastian_2019.pdfapplication/pdf406675https://repositorio.unbosque.edu.co/bitstreams/a02fec25-fd61-4a52-9e54-cf5e2806dfeb/download61d67baf0f118de580c646c7140fa291MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unbosque.edu.co/bitstreams/1e0b1b98-200d-4239-9997-95b3e4562628/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILMalagón_Torres_Juan_Sebastian_2019.pdf.jpgMalagón_Torres_Juan_Sebastian_2019.pdf.jpgimage/jpeg5775https://repositorio.unbosque.edu.co/bitstreams/f241cd78-d406-4ad7-8472-83830dd55e25/download7210a811635d1799e7c05fee5d259be7MD53TEXTMalagón_Torres_Juan_Sebastian_2019.pdf.txtMalagón_Torres_Juan_Sebastian_2019.pdf.txtExtracted texttext/plain19018https://repositorio.unbosque.edu.co/bitstreams/2f10378c-a9ab-4ed4-9e46-dac96831a579/download689f6419f77b16498f509dae0919b318MD5420.500.12495/5170oai:repositorio.unbosque.edu.co:20.500.12495/51702024-02-07 12:02:13.849restrictedhttps://repositorio.unbosque.edu.coRepositorio Institucional Universidad El Bosquebibliotecas@biteca.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 |