Registration frameworks for aligning brain images
In this paper, the results obtained by the registration process of brain image volumes obtained by magnetic resonance imaging (MRI) and functional magnetic resonance imaging (MRI) using two different computational frameworks are presented. The objective is to compare the performance of each framewor...
- Autores:
-
Bravo Valero, Antonio José
Vera, Miguel Ángel
Huérfano, Yoleidy Katherine
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/7424
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/7424
http://www.revistaavft.com/images/revistas/2020/avft_4_2020/22_registration_frameworks.pdf
- Palabra clave:
- Brain images
MRI
fMRI
image registration
SPM
ITK
Imágenes del cerebro
Registro de imágenes
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Registration frameworks for aligning brain images |
| dc.title.translated.spa.fl_str_mv |
Esquemas de registro para alinear imágenes del cerebro |
| title |
Registration frameworks for aligning brain images |
| spellingShingle |
Registration frameworks for aligning brain images Brain images MRI fMRI image registration SPM ITK Imágenes del cerebro Registro de imágenes |
| title_short |
Registration frameworks for aligning brain images |
| title_full |
Registration frameworks for aligning brain images |
| title_fullStr |
Registration frameworks for aligning brain images |
| title_full_unstemmed |
Registration frameworks for aligning brain images |
| title_sort |
Registration frameworks for aligning brain images |
| dc.creator.fl_str_mv |
Bravo Valero, Antonio José Vera, Miguel Ángel Huérfano, Yoleidy Katherine |
| dc.contributor.author.none.fl_str_mv |
Bravo Valero, Antonio José Vera, Miguel Ángel Huérfano, Yoleidy Katherine |
| dc.subject.eng.fl_str_mv |
Brain images MRI fMRI image registration SPM ITK |
| topic |
Brain images MRI fMRI image registration SPM ITK Imágenes del cerebro Registro de imágenes |
| dc.subject.spa.fl_str_mv |
Imágenes del cerebro Registro de imágenes |
| description |
In this paper, the results obtained by the registration process of brain image volumes obtained by magnetic resonance imaging (MRI) and functional magnetic resonance imaging (MRI) using two different computational frameworks are presented. The objective is to compare the performance of each framework, focusing this comparison in the error measurement obtained by brain volumes registration. The comparison involves the intra patient and intra modality (MRI-MRI and fMRI-fMRI) registration. Statistical Parametric Mapping (SPM) and Insight Segmentation and Registration Toolkit (ITK) are chosen as registration frameworks. The proposed methodology considers the data sets generation, test planning, designing test cases, tests execution and evaluating. Finally, these results are analysed. The correspondence between the volumes registered and the target volume using the ITK framework is greater than that obtained with the SPM framework. |
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2020 |
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2020 |
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2021-04-21T19:43:32Z |
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2021-04-21T19:43:32Z |
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Artículo científico |
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26107988 |
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https://hdl.handle.net/20.500.12442/7424 |
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http://www.revistaavft.com/images/revistas/2020/avft_4_2020/22_registration_frameworks.pdf |
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26107988 |
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https://hdl.handle.net/20.500.12442/7424 http://www.revistaavft.com/images/revistas/2020/avft_4_2020/22_registration_frameworks.pdf |
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eng |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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openAccess |
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pdf |
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Sociedad Venezolana de Farmacología Clínica y Terapéutica |
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Revista AVFT - Archivos Venezolanos de Farmacología y Terapéutica |
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Vol. 39, No. 4 (2020) |
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Universidad Simón Bolívar |
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Bravo Valero, Antonio Joséa1ef94a8-f979-461c-acbc-3a51fb6b163aVera, Miguel Ángelf883adfa-3a21-4326-9ba7-6c6b33f481c4Huérfano, Yoleidy Katherine529a74cd-624c-4424-b61e-59c6e0ed523c2021-04-21T19:43:32Z2021-04-21T19:43:32Z202026107988https://hdl.handle.net/20.500.12442/7424http://www.revistaavft.com/images/revistas/2020/avft_4_2020/22_registration_frameworks.pdfIn this paper, the results obtained by the registration process of brain image volumes obtained by magnetic resonance imaging (MRI) and functional magnetic resonance imaging (MRI) using two different computational frameworks are presented. The objective is to compare the performance of each framework, focusing this comparison in the error measurement obtained by brain volumes registration. The comparison involves the intra patient and intra modality (MRI-MRI and fMRI-fMRI) registration. Statistical Parametric Mapping (SPM) and Insight Segmentation and Registration Toolkit (ITK) are chosen as registration frameworks. The proposed methodology considers the data sets generation, test planning, designing test cases, tests execution and evaluating. Finally, these results are analysed. The correspondence between the volumes registered and the target volume using the ITK framework is greater than that obtained with the SPM framework.En este artículo, se presentan los resultados obtenidos por el proceso de registro de los volúmenes de imágenes cerebrales obtenidos por resonancia magnética (MRI) y resonancia magnética funcional (fMRI) utilizando dos marcos computacionales diferentes. El objetivo es comparar el rendimiento de cada marco, enfocando esta comparación en la medición de error obtenida por el registro de volúmenes cerebrales. La comparación involucra el registro intramodal e intramodalidad (MRI-MRI y fMRI-fMRI). El Statistical Parametric Mapping (SPM) y el Insight Segmentation and Registration Toolkit (ITK) se eligen como marcos de registro. La metodología propuesta considera la generación de conjuntos de datos, planificación de pruebas, diseño de casos de prueba, ejecución de pruebas y evaluación. Finalmente, estos resultados son analizados. La correspondencia entre los volúmenes registrados y el volumen objetivo usando el marco ITK es mayor que la obtenida con el marco SPM.pdfengSociedad Venezolana de Farmacología Clínica y TerapéuticaAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Revista AVFT - Archivos Venezolanos de Farmacología y TerapéuticaVol. 39, No. 4 (2020)Brain imagesMRIfMRIimage registrationSPMITKImágenes del cerebroRegistro de imágenesRegistration frameworks for aligning brain imagesEsquemas de registro para alinear imágenes del cerebroinfo:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1ORIGINALPDF.pdfPDF.pdfPDFapplication/pdf761829https://bonga.unisimon.edu.co/bitstreams/1710ead0-7a65-4549-9799-2e56fa5c0c33/download58487b3f3fb5e46f1519f88194e6ba1dMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8381https://bonga.unisimon.edu.co/bitstreams/dd06fb80-cac7-4f6a-aae3-a717814784a0/download733bec43a0bf5ade4d97db708e29b185MD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://bonga.unisimon.edu.co/bitstreams/89208a0f-e2f7-4e36-9afb-3733e419d393/download4460e5956bc1d1639be9ae6146a50347MD52TEXTRegistration_frameworks-for-aligning_brain_images.pdf.txtRegistration_frameworks-for-aligning_brain_images.pdf.txtExtracted texttext/plain4156https://bonga.unisimon.edu.co/bitstreams/b6c42f28-224c-4ee8-9d62-9061d68f3513/download183cdbb1bbfbc2b003a701c4f7fd1fd3MD54PDF.pdf.txtPDF.pdf.txtExtracted texttext/plain32170https://bonga.unisimon.edu.co/bitstreams/9c9c621b-d71d-42ba-a5a1-3dafc78969a6/downloadcaac223e5765f53b254b010031a2f326MD56THUMBNAILRegistration_frameworks-for-aligning_brain_images.pdf.jpgRegistration_frameworks-for-aligning_brain_images.pdf.jpgGenerated Thumbnailimage/jpeg21600https://bonga.unisimon.edu.co/bitstreams/38026bb9-dbf8-45ed-8370-af09a0900c45/download16ca8eace63f7b4a8ec96ff7047d07efMD55PDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg6876https://bonga.unisimon.edu.co/bitstreams/cd49f966-fc53-44bb-8972-28bf327adb5d/download9e4b51ff137693e92bff1d78f29e3d83MD5720.500.12442/7424oai:bonga.unisimon.edu.co:20.500.12442/74242024-08-14 21:52:05.385http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacionalopen.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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 |