Biomedical imaging registration trends and applications
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/61888 |
Resumo: | Data registration, i.e., the process of transforming a dataset so that the entities represented are properly adjusted to the homologous entities represented in a second dataset, has been a topic of huge research in various scientific fields. In Computational Vision, such transformation is commonly used on static images, but also on image sequences, and is usually known as image registration. For example, in medicine, computational methods of image registration have been assuming an essential role in supporting enhanced diagnosis, the fusion of information conveyed in images acquired by different techniques, the follow-up of organs and pathologies, in computer-assisted surgery, etc. Thus, the computational registration of images has been a remarkable tool for clinicians and researchers since, after the truthful registration of the data involved, tasks such as image analysis, comparison of a given clinical case with previously studied ones, the automatic identification of regions of interest and information fusion, are facilitated and can be performed automatically and without subjectivity. During this presentation, the topic of image registration is going to be introduced, automatic computational methodologies to register images and image sequences are going to be described, and application cases involving static images, image sequences and images acquired by different techniques are going to be presented and discussed. |
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Biomedical imaging registration trends and applicationsCiências Tecnológicas, Outras ciências da engenharia e tecnologiasTechnological sciences, Other engineering and technologiesData registration, i.e., the process of transforming a dataset so that the entities represented are properly adjusted to the homologous entities represented in a second dataset, has been a topic of huge research in various scientific fields. In Computational Vision, such transformation is commonly used on static images, but also on image sequences, and is usually known as image registration. For example, in medicine, computational methods of image registration have been assuming an essential role in supporting enhanced diagnosis, the fusion of information conveyed in images acquired by different techniques, the follow-up of organs and pathologies, in computer-assisted surgery, etc. Thus, the computational registration of images has been a remarkable tool for clinicians and researchers since, after the truthful registration of the data involved, tasks such as image analysis, comparison of a given clinical case with previously studied ones, the automatic identification of regions of interest and information fusion, are facilitated and can be performed automatically and without subjectivity. During this presentation, the topic of image registration is going to be introduced, automatic computational methodologies to register images and image sequences are going to be described, and application cases involving static images, image sequences and images acquired by different techniques are going to be presented and discussed.20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/61888engJoão Manuel R. S.Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:39:41Zoai:repositorio-aberto.up.pt:10216/61888Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:06:14.121833Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Biomedical imaging registration trends and applications |
title |
Biomedical imaging registration trends and applications |
spellingShingle |
Biomedical imaging registration trends and applications João Manuel R. S.Tavares Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
title_short |
Biomedical imaging registration trends and applications |
title_full |
Biomedical imaging registration trends and applications |
title_fullStr |
Biomedical imaging registration trends and applications |
title_full_unstemmed |
Biomedical imaging registration trends and applications |
title_sort |
Biomedical imaging registration trends and applications |
author |
João Manuel R. S.Tavares |
author_facet |
João Manuel R. S.Tavares |
author_role |
author |
dc.contributor.author.fl_str_mv |
João Manuel R. S.Tavares |
dc.subject.por.fl_str_mv |
Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
topic |
Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
description |
Data registration, i.e., the process of transforming a dataset so that the entities represented are properly adjusted to the homologous entities represented in a second dataset, has been a topic of huge research in various scientific fields. In Computational Vision, such transformation is commonly used on static images, but also on image sequences, and is usually known as image registration. For example, in medicine, computational methods of image registration have been assuming an essential role in supporting enhanced diagnosis, the fusion of information conveyed in images acquired by different techniques, the follow-up of organs and pathologies, in computer-assisted surgery, etc. Thus, the computational registration of images has been a remarkable tool for clinicians and researchers since, after the truthful registration of the data involved, tasks such as image analysis, comparison of a given clinical case with previously studied ones, the automatic identification of regions of interest and information fusion, are facilitated and can be performed automatically and without subjectivity. During this presentation, the topic of image registration is going to be introduced, automatic computational methodologies to register images and image sequences are going to be described, and application cases involving static images, image sequences and images acquired by different techniques are going to be presented and discussed. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2012-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/61888 |
url |
https://hdl.handle.net/10216/61888 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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