Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping
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/21059 |
Resumo: | To improve the human perception of an augmented reality scene, its virtual and real entities can be rendered according to the focus+context visualization. This paradigm is specially important in the field of on-patient medical data visualization, as it provides insight to the physicians about the spatial relations between the patient's anatomy (focus region) and his entire body (context region). However, the current existing methods proposed in this field do not give special treatment to the effect of volume clipping, which can open new ways for physicians to explore and understand the entire scene. In this paper we introduce an on-patient focus+context medical data visualization based on volume clipping. It is proposed in a markerless augmented reality environment. From the estimated camera pose, the volumetric medical data can be displayed to a physician inside the patient's anatomy at the location of the real anatomy. To improve the visual quality of the final scene, three methods based on volume clipping are proposed to allow new focus+context visualizations. Moreover, the whole solution supports occlusion handling. From the evaluation of the proposed techniques, the results obtained highlight that these methods improve the visual quality of the final rendering. Furthermore, the application still runs in realtime. |
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Macedo, Márcio Cerqueira de F.Apolinário Júnior, Antonio LopesMacedo, Márcio Cerqueira de F.Apolinário Júnior, Antonio Lopes2016-12-14T12:44:51Z2016-12-14T12:44:51Z2014-10-02978-1-4799-4258-91530-1834http://repositorio.ufba.br/ri/handle/ri/21059To improve the human perception of an augmented reality scene, its virtual and real entities can be rendered according to the focus+context visualization. This paradigm is specially important in the field of on-patient medical data visualization, as it provides insight to the physicians about the spatial relations between the patient's anatomy (focus region) and his entire body (context region). However, the current existing methods proposed in this field do not give special treatment to the effect of volume clipping, which can open new ways for physicians to explore and understand the entire scene. In this paper we introduce an on-patient focus+context medical data visualization based on volume clipping. It is proposed in a markerless augmented reality environment. From the estimated camera pose, the volumetric medical data can be displayed to a physician inside the patient's anatomy at the location of the real anatomy. To improve the visual quality of the final scene, three methods based on volume clipping are proposed to allow new focus+context visualizations. Moreover, the whole solution supports occlusion handling. From the evaluation of the proposed techniques, the results obtained highlight that these methods improve the visual quality of the final rendering. Furthermore, the application still runs in realtime.Submitted by Márcio Macedo (marciocfmacedo@hotmail.com) on 2016-12-13T16:04:57Z No. of bitstreams: 1 Improving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping.pdf: 3828485 bytes, checksum: 460f1692dde9037dbeeddf5fa59ab45e (MD5)Approved for entry into archive by Vanessa Reis (vanessa.jamile@ufba.br) on 2016-12-14T12:44:51Z (GMT) No. of bitstreams: 1 Improving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping.pdf: 3828485 bytes, checksum: 460f1692dde9037dbeeddf5fa59ab45e (MD5)Made available in DSpace on 2016-12-14T12:44:51Z (GMT). No. of bitstreams: 1 Improving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping.pdf: 3828485 bytes, checksum: 460f1692dde9037dbeeddf5fa59ab45e (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)Rio de Janeiro, BrazilIEEEBrasilhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6915302reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAVolume clippingFocus+context visualizationAugmented realityVolume renderingImproving on-patient medical data visualization in a markerless augmented reality environment by volume clippinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccessengORIGINALImproving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping.pdfImproving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping.pdfapplication/pdf3828485https://repositorio.ufba.br/bitstream/ri/21059/1/Improving%20On-Patient%20Medical%20Data%20Visualization%20in%20a%20Markerless%20Augmented%20Reality%20Environment%20by%20Volume%20Clipping.pdf460f1692dde9037dbeeddf5fa59ab45eMD51LICENSElicense.txtlicense.txttext/plain1345https://repositorio.ufba.br/bitstream/ri/21059/2/license.txtff6eaa8b858ea317fded99f125f5fcd0MD52TEXTImproving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping.pdf.txtImproving On-Patient Medical Data Visualization in a Markerless Augmented Reality Environment by Volume Clipping.pdf.txtExtracted texttext/plain38659https://repositorio.ufba.br/bitstream/ri/21059/3/Improving%20On-Patient%20Medical%20Data%20Visualization%20in%20a%20Markerless%20Augmented%20Reality%20Environment%20by%20Volume%20Clipping.pdf.txte8bd3d838ac023012196d73707e73d77MD53ri/210592022-08-08 12:00:19.576oai:repositorio.ufba.br:ri/21059VGVybW8gZGUgTGljZW7vv71hLCBu77+9byBleGNsdXNpdm8sIHBhcmEgbyBkZXDvv71zaXRvIG5vIFJlcG9zaXTvv71yaW8gSW5zdGl0dWNpb25hbCBkYSBVRkJBLgoKIFBlbG8gcHJvY2Vzc28gZGUgc3VibWlzc++/vW8gZGUgZG9jdW1lbnRvcywgbyBhdXRvciBvdSBzZXUgcmVwcmVzZW50YW50ZSBsZWdhbCwgYW8gYWNlaXRhciAKZXNzZSB0ZXJtbyBkZSBsaWNlbu+/vWEsIGNvbmNlZGUgYW8gUmVwb3NpdO+/vXJpbyBJbnN0aXR1Y2lvbmFsIGRhIFVuaXZlcnNpZGFkZSBGZWRlcmFsIGRhIEJhaGlhIApvIGRpcmVpdG8gZGUgbWFudGVyIHVtYSBj77+9cGlhIGVtIHNldSByZXBvc2l077+9cmlvIGNvbSBhIGZpbmFsaWRhZGUsIHByaW1laXJhLCBkZSBwcmVzZXJ2Ye+/ve+/vW8uIApFc3NlcyB0ZXJtb3MsIG7vv71vIGV4Y2x1c2l2b3MsIG1hbnTvv71tIG9zIGRpcmVpdG9zIGRlIGF1dG9yL2NvcHlyaWdodCwgbWFzIGVudGVuZGUgbyBkb2N1bWVudG8gCmNvbW8gcGFydGUgZG8gYWNlcnZvIGludGVsZWN0dWFsIGRlc3NhIFVuaXZlcnNpZGFkZS4KCiBQYXJhIG9zIGRvY3VtZW50b3MgcHVibGljYWRvcyBjb20gcmVwYXNzZSBkZSBkaXJlaXRvcyBkZSBkaXN0cmlidWnvv73vv71vLCBlc3NlIHRlcm1vIGRlIGxpY2Vu77+9YSAKZW50ZW5kZSBxdWU6CgogTWFudGVuZG8gb3MgZGlyZWl0b3MgYXV0b3JhaXMsIHJlcGFzc2Fkb3MgYSB0ZXJjZWlyb3MsIGVtIGNhc28gZGUgcHVibGljYe+/ve+/vWVzLCBvIHJlcG9zaXTvv71yaW8KcG9kZSByZXN0cmluZ2lyIG8gYWNlc3NvIGFvIHRleHRvIGludGVncmFsLCBtYXMgbGliZXJhIGFzIGluZm9ybWHvv73vv71lcyBzb2JyZSBvIGRvY3VtZW50bwooTWV0YWRhZG9zIGVzY3JpdGl2b3MpLgoKIERlc3RhIGZvcm1hLCBhdGVuZGVuZG8gYW9zIGFuc2Vpb3MgZGVzc2EgdW5pdmVyc2lkYWRlIGVtIG1hbnRlciBzdWEgcHJvZHXvv73vv71vIGNpZW5077+9ZmljYSBjb20gCmFzIHJlc3Ryae+/ve+/vWVzIGltcG9zdGFzIHBlbG9zIGVkaXRvcmVzIGRlIHBlcmnvv71kaWNvcy4KCiBQYXJhIGFzIHB1YmxpY2Hvv73vv71lcyBzZW0gaW5pY2lhdGl2YXMgcXVlIHNlZ3VlbSBhIHBvbO+/vXRpY2EgZGUgQWNlc3NvIEFiZXJ0bywgb3MgZGVw77+9c2l0b3MgCmNvbXB1bHPvv71yaW9zIG5lc3NlIHJlcG9zaXTvv71yaW8gbWFudO+/vW0gb3MgZGlyZWl0b3MgYXV0b3JhaXMsIG1hcyBtYW5077+9bSBhY2Vzc28gaXJyZXN0cml0byAKYW8gbWV0YWRhZG9zIGUgdGV4dG8gY29tcGxldG8uIEFzc2ltLCBhIGFjZWl0Ye+/ve+/vW8gZGVzc2UgdGVybW8gbu+/vW8gbmVjZXNzaXRhIGRlIGNvbnNlbnRpbWVudG8KIHBvciBwYXJ0ZSBkZSBhdXRvcmVzL2RldGVudG9yZXMgZG9zIGRpcmVpdG9zLCBwb3IgZXN0YXJlbSBlbSBpbmljaWF0aXZhcyBkZSBhY2Vzc28gYWJlcnRvLgo=Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-08-08T15:00:19Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping |
title |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping |
spellingShingle |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping Macedo, Márcio Cerqueira de F. Volume clipping Focus+context visualization Augmented reality Volume rendering |
title_short |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping |
title_full |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping |
title_fullStr |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping |
title_full_unstemmed |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping |
title_sort |
Improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping |
author |
Macedo, Márcio Cerqueira de F. |
author_facet |
Macedo, Márcio Cerqueira de F. 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 F. Apolinário Júnior, Antonio Lopes Macedo, Márcio Cerqueira de F. Apolinário Júnior, Antonio Lopes |
dc.subject.por.fl_str_mv |
Volume clipping Focus+context visualization Augmented reality Volume rendering |
topic |
Volume clipping Focus+context visualization Augmented reality Volume rendering |
description |
To improve the human perception of an augmented reality scene, its virtual and real entities can be rendered according to the focus+context visualization. This paradigm is specially important in the field of on-patient medical data visualization, as it provides insight to the physicians about the spatial relations between the patient's anatomy (focus region) and his entire body (context region). However, the current existing methods proposed in this field do not give special treatment to the effect of volume clipping, which can open new ways for physicians to explore and understand the entire scene. In this paper we introduce an on-patient focus+context medical data visualization based on volume clipping. It is proposed in a markerless augmented reality environment. From the estimated camera pose, the volumetric medical data can be displayed to a physician inside the patient's anatomy at the location of the real anatomy. To improve the visual quality of the final scene, three methods based on volume clipping are proposed to allow new focus+context visualizations. Moreover, the whole solution supports occlusion handling. From the evaluation of the proposed techniques, the results obtained highlight that these methods improve the visual quality of the final rendering. Furthermore, the application still runs in realtime. |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-10-02 |
dc.date.accessioned.fl_str_mv |
2016-12-14T12:44:51Z |
dc.date.available.fl_str_mv |
2016-12-14T12:44:51Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufba.br/ri/handle/ri/21059 |
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978-1-4799-4258-9 |
dc.identifier.issn.none.fl_str_mv |
1530-1834 |
identifier_str_mv |
978-1-4799-4258-9 1530-1834 |
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http://repositorio.ufba.br/ri/handle/ri/21059 |
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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 |
publisher.none.fl_str_mv |
IEEE |
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http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6915302 |
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