Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping

Jung Soh1, Andrei L Turinsky1, Quang M Trinh1, Jasmine Chang1, Ajay Sabhaney1, et al1Sun Center of Excellence for Visual Genomics, University of Calgary, Calgary, AB, Canada; 2Department of Biological Sciences, University of Alberta, Edmonton, AB, CanadaAbstract: We have developed a computational fr...

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Autores principales:	Jung Soh, Andrei L Turinsky, Quang M Trinh,&nbsp;Jasmine Chang, Ajay Sabhaney,&nbsp;et al
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2009
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/725ce34e298c4ac89bbf6eaa2864f42e
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spelling	oai:doaj.org-article:725ce34e298c4ac89bbf6eaa2864f42e2021-12-02T01:07:59ZSpatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping1176-91141178-2013https://doaj.org/article/725ce34e298c4ac89bbf6eaa2864f42e2009-03-01T00:00:00Zhttp://www.dovepress.com/spatiotemporal-integration-of-molecular-and-anatomical-data-in-virtual-a2966https://doaj.org/toc/1176-9114https://doaj.org/toc/1178-2013Jung Soh1, Andrei L Turinsky1, Quang M Trinh1, Jasmine Chang1, Ajay Sabhaney1, et al1Sun Center of Excellence for Visual Genomics, University of Calgary, Calgary, AB, Canada; 2Department of Biological Sciences, University of Alberta, Edmonton, AB, CanadaAbstract: We have developed a computational framework for spatiotemporal integration of molecular and anatomical datasets in a virtual reality environment. Using two case studies involving gene expression data and pharmacokinetic data, respectively, we demonstrate how existing knowledge bases for molecular data can be semantically mapped onto a standardized anatomical context of human body. Our data mapping methodology uses ontological representations of heterogeneous biomedical datasets and an ontology reasoner to create complex semantic descriptions of biomedical processes. This framework provides a means to systematically combine an increasing amount of biomedical imaging and numerical data into spatiotemporally coherent graphical representations. Our work enables medical researchers with different expertise to simulate complex phenomena visually and to develop insights through the use of shared data, thus paving the way for pathological inference, developmental pattern discovery and biomedical hypothesis testing.Keywords: anatomical atlas, gene expression, pharmacokinetics, biomedical data integration, CAVEman, virtual reality in medicine Jung SohAndrei L TurinskyQuang M Trinh,&nbsp;Jasmine ChangAjay Sabhaney,&nbsp;et alDove Medical PressarticleMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol 2009, Iss default, Pp 79-89 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 Jung Soh Andrei L Turinsky Quang M Trinh,&nbsp;Jasmine Chang Ajay Sabhaney,&nbsp;et al Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
description	Jung Soh1, Andrei L Turinsky1, Quang M Trinh1, Jasmine Chang1, Ajay Sabhaney1, et al1Sun Center of Excellence for Visual Genomics, University of Calgary, Calgary, AB, Canada; 2Department of Biological Sciences, University of Alberta, Edmonton, AB, CanadaAbstract: We have developed a computational framework for spatiotemporal integration of molecular and anatomical datasets in a virtual reality environment. Using two case studies involving gene expression data and pharmacokinetic data, respectively, we demonstrate how existing knowledge bases for molecular data can be semantically mapped onto a standardized anatomical context of human body. Our data mapping methodology uses ontological representations of heterogeneous biomedical datasets and an ontology reasoner to create complex semantic descriptions of biomedical processes. This framework provides a means to systematically combine an increasing amount of biomedical imaging and numerical data into spatiotemporally coherent graphical representations. Our work enables medical researchers with different expertise to simulate complex phenomena visually and to develop insights through the use of shared data, thus paving the way for pathological inference, developmental pattern discovery and biomedical hypothesis testing.Keywords: anatomical atlas, gene expression, pharmacokinetics, biomedical data integration, CAVEman, virtual reality in medicine
format	article
author	Jung Soh Andrei L Turinsky Quang M Trinh,&nbsp;Jasmine Chang Ajay Sabhaney,&nbsp;et al
author_facet	Jung Soh Andrei L Turinsky Quang M Trinh,&nbsp;Jasmine Chang Ajay Sabhaney,&nbsp;et al
author_sort	Jung Soh
title	Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
title_short	Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
title_full	Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
title_fullStr	Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
title_full_unstemmed	Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
title_sort	spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
publisher	Dove Medical Press
publishDate	2009
url	https://doaj.org/article/725ce34e298c4ac89bbf6eaa2864f42e
work_keys_str_mv	AT jungsoh spatiotemporalintegrationofmolecularandanatomicaldatainvirtualrealityusingsemanticmapping AT andreilturinsky spatiotemporalintegrationofmolecularandanatomicaldatainvirtualrealityusingsemanticmapping AT quangmtrinhampnbspjasminechang spatiotemporalintegrationofmolecularandanatomicaldatainvirtualrealityusingsemanticmapping AT ajaysabhaneyampnbspetal spatiotemporalintegrationofmolecularandanatomicaldatainvirtualrealityusingsemanticmapping
_version_	1718403263426985984

Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping

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