A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | http://repositorio.ufba.br/ri/handle/ri/21061 |
Resumo: | In general, augmented reality (AR) applications use polygonal models to augment a real scene. However, most of the medical applications have volumetric data to be visualized. Therefore, it is desirable to the medical AR systems to provide the visualization of these volumes into the real scene in real-time. In this paper we introduce a real-time semi-automatic approach for on-patient medical volume data visualization. It is proposed in a marker less augmented reality (MAR) environment and the medical data consists of a volume reconstructed from 3D computed tomography (CT) image data. A 3D reference model of the region of interest in the patient is generated and tracked from the Kinect depth stream. From the estimated camera pose, a volumetric medical data can be displayed to a physician inside the patient's anatomy at the location of the real anatomy. We evaluate the use of the named standard volume rendering techniques in the context of a MAR environment. The results obtained so far show that these techniques can be applied in this scenario in real-time. |
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Macedo, Márcio Cerqueira de F.Apolinário Júnior, Antonio LopesSouza, Antonio Carlos dos SantosGiraldi, Gilson AntônioMacedo, Márcio Cerqueira de F.Apolinário Júnior, Antonio LopesSouza, Antonio Carlos dos SantosGiraldi, Gilson Antônio2016-12-14T12:51:42Z2016-12-14T12:51:42Z2014-10-02978-1-4799-4261-9http://repositorio.ufba.br/ri/handle/ri/21061In general, augmented reality (AR) applications use polygonal models to augment a real scene. However, most of the medical applications have volumetric data to be visualized. Therefore, it is desirable to the medical AR systems to provide the visualization of these volumes into the real scene in real-time. In this paper we introduce a real-time semi-automatic approach for on-patient medical volume data visualization. It is proposed in a marker less augmented reality (MAR) environment and the medical data consists of a volume reconstructed from 3D computed tomography (CT) image data. A 3D reference model of the region of interest in the patient is generated and tracked from the Kinect depth stream. From the estimated camera pose, a volumetric medical data can be displayed to a physician inside the patient's anatomy at the location of the real anatomy. We evaluate the use of the named standard volume rendering techniques in the context of a MAR environment. The results obtained so far show that these techniques can be applied in this scenario in real-time.Submitted by Márcio Macedo (marciocfmacedo@hotmail.com) on 2016-12-13T16:24:05Z No. of bitstreams: 2 A Semi-Automatic Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization.pdf: 655024 bytes, checksum: 76eb1eafc990eebec90c5026aeb9e7dc (MD5) SVR2014.mp4: 14214068 bytes, checksum: 2861c5e40b45701a625c87866cb1d9d0 (MD5)Approved for entry into archive by Vanessa Reis (vanessa.jamile@ufba.br) on 2016-12-14T12:51:42Z (GMT) No. of bitstreams: 2 A Semi-Automatic Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization.pdf: 655024 bytes, checksum: 76eb1eafc990eebec90c5026aeb9e7dc (MD5) SVR2014.mp4: 14214068 bytes, checksum: 2861c5e40b45701a625c87866cb1d9d0 (MD5)Made available in DSpace on 2016-12-14T12:51:42Z (GMT). No. of bitstreams: 2 A Semi-Automatic Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization.pdf: 655024 bytes, checksum: 76eb1eafc990eebec90c5026aeb9e7dc (MD5) SVR2014.mp4: 14214068 bytes, checksum: 2861c5e40b45701a625c87866cb1d9d0 (MD5) Previous issue date: 2014-10-02Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Salvador, BrazilIEEEBrasilhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6913073reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAAugmented realityVolume renderingMarkerless registrationA semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualizationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccessengORIGINALA Semi-Automatic Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization.pdfA Semi-Automatic Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization.pdfArtigo principalapplication/pdf655024https://repositorio.ufba.br/bitstream/ri/21061/1/A%20Semi-Automatic%20Augmented%20Reality%20Approach%20for%20On-Patient%20Volumetric%20Medical%20Data%20Visualization.pdf76eb1eafc990eebec90c5026aeb9e7dcMD51SVR2014.mp4SVR2014.mp4Videovideo/mpeg14214068https://repositorio.ufba.br/bitstream/ri/21061/2/SVR2014.mp42861c5e40b45701a625c87866cb1d9d0MD52LICENSElicense.txtlicense.txttext/plain1345https://repositorio.ufba.br/bitstream/ri/21061/3/license.txtff6eaa8b858ea317fded99f125f5fcd0MD53TEXTA Semi-Automatic Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization.pdf.txtA Semi-Automatic Augmented Reality Approach for On-Patient Volumetric Medical Data Visualization.pdf.txtExtracted texttext/plain41487https://repositorio.ufba.br/bitstream/ri/21061/4/A%20Semi-Automatic%20Augmented%20Reality%20Approach%20for%20On-Patient%20Volumetric%20Medical%20Data%20Visualization.pdf.txt8d9aa63a709761f6f019b12f0840973fMD54ri/210612022-08-23 10:43:32.29oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestrepositorio@ufba.bropendoar:19322022-08-23T13:43:32Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization |
title |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization |
spellingShingle |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization Macedo, Márcio Cerqueira de F. Augmented reality Volume rendering Markerless registration |
title_short |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization |
title_full |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization |
title_fullStr |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization |
title_full_unstemmed |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization |
title_sort |
A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization |
author |
Macedo, Márcio Cerqueira de F. |
author_facet |
Macedo, Márcio Cerqueira de F. Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos Giraldi, Gilson Antônio |
author_role |
author |
author2 |
Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos Giraldi, Gilson Antônio |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Macedo, Márcio Cerqueira de F. Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos Giraldi, Gilson Antônio Macedo, Márcio Cerqueira de F. Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos Giraldi, Gilson Antônio |
dc.subject.por.fl_str_mv |
Augmented reality Volume rendering Markerless registration |
topic |
Augmented reality Volume rendering Markerless registration |
description |
In general, augmented reality (AR) applications use polygonal models to augment a real scene. However, most of the medical applications have volumetric data to be visualized. Therefore, it is desirable to the medical AR systems to provide the visualization of these volumes into the real scene in real-time. In this paper we introduce a real-time semi-automatic approach for on-patient medical volume data visualization. It is proposed in a marker less augmented reality (MAR) environment and the medical data consists of a volume reconstructed from 3D computed tomography (CT) image data. A 3D reference model of the region of interest in the patient is generated and tracked from the Kinect depth stream. From the estimated camera pose, a volumetric medical data can be displayed to a physician inside the patient's anatomy at the location of the real anatomy. We evaluate the use of the named standard volume rendering techniques in the context of a MAR environment. The results obtained so far show that these techniques can be applied in this scenario in real-time. |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-10-02 |
dc.date.accessioned.fl_str_mv |
2016-12-14T12:51:42Z |
dc.date.available.fl_str_mv |
2016-12-14T12:51:42Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufba.br/ri/handle/ri/21061 |
dc.identifier.isbn.none.fl_str_mv |
978-1-4799-4261-9 |
identifier_str_mv |
978-1-4799-4261-9 |
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http://repositorio.ufba.br/ri/handle/ri/21061 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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IEEE |
dc.publisher.country.fl_str_mv |
Brasil |
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IEEE |
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http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6913073 |
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