Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | http://repositorio.ufba.br/ri/handle/ri/21030 |
Resumo: | Focus plus context visualization can be used in augmented reality to improve the visual perception of the augmented scene. In the scope of in situ or on-patient medical data visualization, the focus plus context paradigm is used to improve depth perception for physicians showing the patient׳s anatomy as a focus region in the context of the patient׳s body. Volume clipping is one technique to realize focus plus context visualization. However, some of the existing methods for focus plus context visualization based on volume clipping do not run in full real time or are prone to artifacts. In this paper, we present an extension for two of these techniques to improve performance and image quality of the original approaches. We validate all the techniques in a markerless augmented reality environment. A 3D reference model is tracked by the application, and volumetric medical data are shown to the user at the position of the patient׳s anatomy. Our technique is able to handle multiple anatomic regions, although the main region of interest used in this paper is the face. Moreover, tracking accuracy is improved by the use of a hierarchical approach. From an evaluation of the proposed techniques, the results obtained highlight that all of them are free of artifacts, optimized for real-time performance, and improve the visual quality of the augmented scene. |
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Macedo, Márcio Cerqueira de FariasApolinário Júnior, Antonio LopesMacedo, Márcio Cerqueira de FariasApolinário Júnior, Antonio Lopes2016-12-06T12:26:51Z2016-12-06T12:26:51Z2015-090097-8493http://repositorio.ufba.br/ri/handle/ri/21030v. 53Focus plus context visualization can be used in augmented reality to improve the visual perception of the augmented scene. In the scope of in situ or on-patient medical data visualization, the focus plus context paradigm is used to improve depth perception for physicians showing the patient׳s anatomy as a focus region in the context of the patient׳s body. Volume clipping is one technique to realize focus plus context visualization. However, some of the existing methods for focus plus context visualization based on volume clipping do not run in full real time or are prone to artifacts. In this paper, we present an extension for two of these techniques to improve performance and image quality of the original approaches. We validate all the techniques in a markerless augmented reality environment. A 3D reference model is tracked by the application, and volumetric medical data are shown to the user at the position of the patient׳s anatomy. Our technique is able to handle multiple anatomic regions, although the main region of interest used in this paper is the face. Moreover, tracking accuracy is improved by the use of a hierarchical approach. From an evaluation of the proposed techniques, the results obtained highlight that all of them are free of artifacts, optimized for real-time performance, and improve the visual quality of the augmented scene.Submitted by Márcio Macedo (marciocfmacedo@hotmail.com) on 2016-12-06T04:00:07Z No. of bitstreams: 2 C&G.pdf: 5239886 bytes, checksum: 5770729046fc27d5a9669db608d608ed (MD5) Computers&Graphics2015.mp4: 32588094 bytes, checksum: a5188355a27c13d42066a12b420ca7a4 (MD5)Approved for entry into archive by Vanessa Reis (vanessa.jamile@ufba.br) on 2016-12-06T12:26:51Z (GMT) No. of bitstreams: 2 C&G.pdf: 5239886 bytes, checksum: 5770729046fc27d5a9669db608d608ed (MD5) Computers&Graphics2015.mp4: 32588094 bytes, checksum: a5188355a27c13d42066a12b420ca7a4 (MD5)Made available in DSpace on 2016-12-06T12:26:51Z (GMT). No. of bitstreams: 2 C&G.pdf: 5239886 bytes, checksum: 5770729046fc27d5a9669db608d608ed (MD5) Computers&Graphics2015.mp4: 32588094 bytes, checksum: a5188355a27c13d42066a12b420ca7a4 (MD5) Previous issue date: 2015-09-26Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB) e Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Computers & GraphicsElsevierhttp://dx.doi.org/10.1016/j.cag.2015.09.007reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAVolume clippingFocus plus context visualizationAugmented realityVolume renderingFocus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualizationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessengORIGINALC&G.pdfC&G.pdfArtigo principalapplication/pdf5239886https://repositorio.ufba.br/bitstream/ri/21030/1/C%26G.pdf5770729046fc27d5a9669db608d608edMD51Computers&Graphics2015.mp4Computers&Graphics2015.mp4Videovideo/mpeg32588094https://repositorio.ufba.br/bitstream/ri/21030/2/Computers%26Graphics2015.mp4a5188355a27c13d42066a12b420ca7a4MD52LICENSElicense.txtlicense.txttext/plain1345https://repositorio.ufba.br/bitstream/ri/21030/3/license.txtff6eaa8b858ea317fded99f125f5fcd0MD53TEXTC&G.pdf.txtC&G.pdf.txtExtracted texttext/plain83871https://repositorio.ufba.br/bitstream/ri/21030/4/C%26G.pdf.txt18d282f038ac922b05d36672396bb69dMD54ri/210302022-10-17 23:36:34.427oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-10-18T02:36:34Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization |
title |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization |
spellingShingle |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization Macedo, Márcio Cerqueira de Farias Volume clipping Focus plus context visualization Augmented reality Volume rendering |
title_short |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization |
title_full |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization |
title_fullStr |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization |
title_full_unstemmed |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization |
title_sort |
Focus plus Context Visualization based on Volume Clipping for Markerless On-Patient Medical Data Visualization |
author |
Macedo, Márcio Cerqueira de Farias |
author_facet |
Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes |
author_role |
author |
author2 |
Apolinário Júnior, Antonio Lopes |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes |
dc.subject.por.fl_str_mv |
Volume clipping Focus plus context visualization Augmented reality Volume rendering |
topic |
Volume clipping Focus plus context visualization Augmented reality Volume rendering |
description |
Focus plus context visualization can be used in augmented reality to improve the visual perception of the augmented scene. In the scope of in situ or on-patient medical data visualization, the focus plus context paradigm is used to improve depth perception for physicians showing the patient׳s anatomy as a focus region in the context of the patient׳s body. Volume clipping is one technique to realize focus plus context visualization. However, some of the existing methods for focus plus context visualization based on volume clipping do not run in full real time or are prone to artifacts. In this paper, we present an extension for two of these techniques to improve performance and image quality of the original approaches. We validate all the techniques in a markerless augmented reality environment. A 3D reference model is tracked by the application, and volumetric medical data are shown to the user at the position of the patient׳s anatomy. Our technique is able to handle multiple anatomic regions, although the main region of interest used in this paper is the face. Moreover, tracking accuracy is improved by the use of a hierarchical approach. From an evaluation of the proposed techniques, the results obtained highlight that all of them are free of artifacts, optimized for real-time performance, and improve the visual quality of the augmented scene. |
publishDate |
2015 |
dc.date.issued.fl_str_mv |
2015-09 |
dc.date.accessioned.fl_str_mv |
2016-12-06T12:26:51Z |
dc.date.available.fl_str_mv |
2016-12-06T12:26:51Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufba.br/ri/handle/ri/21030 |
dc.identifier.issn.none.fl_str_mv |
0097-8493 |
dc.identifier.number.pt_BR.fl_str_mv |
v. 53 |
identifier_str_mv |
0097-8493 v. 53 |
url |
http://repositorio.ufba.br/ri/handle/ri/21030 |
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.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.pt_BR.fl_str_mv |
http://dx.doi.org/10.1016/j.cag.2015.09.007 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFBA instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
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Universidade Federal da Bahia (UFBA) |
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UFBA |
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UFBA |
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Repositório Institucional da UFBA |
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Repositório Institucional da UFBA |
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