A semi-automatic markerless augmented reality approach for on-patient volumetric medical data visualization

Detalhes bibliográficos
Autor(a) principal: Macedo, Márcio Cerqueira de F.
Data de Publicação: 2014
Outros Autores: Apolinário Júnior, Antonio Lopes, Souza, Antonio Carlos dos Santos, Giraldi, Gilson Antônio
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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spelling 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/requestopendoar: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
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