| Web-based interactive 3D visualization as a tool for improved anatomy learning. | |
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MedLine Citation:
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PMID: 19363804 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Despite a long tradition, conventional anatomy education based on dissection is declining. This study tested a new virtual reality (VR) technique for anatomy learning based on virtual contrast injection. The aim was to assess whether students value this new three-dimensional (3D) visualization method as a learning tool and what value they gain from its use in reaching their anatomical learning objectives. Several 3D vascular VR models were created using an interactive segmentation tool based on the "virtual contrast injection" method. This method allows users, with relative ease, to convert computer tomography or magnetic resonance images into vivid 3D VR movies using the OsiriX software equipped with the CMIV CTA plug-in. Once created using the segmentation tool, the image series were exported in Quick Time Virtual Reality (QTVR) format and integrated within a web framework of the Educational Virtual Anatomy (EVA) program. A total of nine QTVR movies were produced encompassing most of the major arteries of the body. These movies were supplemented with associated information, color keys, and notes. The results indicate that, in general, students' attitudes towards the EVA-program were positive when compared with anatomy textbooks, but results were not the same with dissections. Additionally, knowledge tests suggest a potentially beneficial effect on learning. |
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Authors:
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Helge Petersson; David Sinkvist; Chunliang Wang; Orjan Smedby |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Anatomical sciences education Volume: 2 ISSN: 1935-9780 ISO Abbreviation: Anat Sci Educ Publication Date: 2009 Mar-Apr |
Date Detail:
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Created Date: 2009-04-30 Completed Date: 2009-06-04 Revised Date: 2010-09-30 |
Medline Journal Info:
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Nlm Unique ID: 101392205 Medline TA: Anat Sci Educ Country: United States |
Other Details:
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Languages: eng Pagination: 61-8 Citation Subset: IM |
Affiliation:
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Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Anatomy
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education* Arteries / anatomy & histology* Comprehension Computer Graphics* Computer Simulation Computer-Assisted Instruction* Curriculum Education, Medical, Undergraduate / methods* Humans Imaging, Three-Dimensional* Internet* Learning Magnetic Resonance Angiography Models, Anatomic Models, Cardiovascular Software Students, Medical Tomography, X-Ray Computed User-Computer Interface* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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