| Depth perception--a major issue in medical AR: evaluation study by twenty surgeons. | |
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MedLine Citation:
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PMID: 17354911 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The idea of in-situ visualization for surgical procedures has been widely discussed in the community. While the tracking technology offers nowadays a sufficient accuracy and visualization devices have been developed that fit seamlessly into the operational workflow [1, 3], one crucial problem remains, which has been discussed already in the first paper on medical augmented reality. Even though the data is presented at the correct place, the physician often perceives the spatial position of the visualization to be closer or further because of virtual/real overlay. This paper describes and evaluates novel visualization techniques that are designed to overcome misleading depth perception of trivially superimposed virtual images on the real view. We have invited 20 surgeons to evaluate seven different visualization techniques using a head mounted display (HMD). The evaluation has been divided into two parts. In the first part, the depth perception of each kind of visualization is evaluated quantitatively. In the second part, the visualizations are evaluated qualitatively in regard to user friendliness and intuitiveness. This evaluation with a relevant number of surgeons using a state-of-the-art system is meant to guide future research and development on medical augmented reality. |
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Authors:
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Tobias Sielhorst; Christoph Bichlmeier; Sandro Michael Heining; Nassir Navab |
Publication Detail:
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Type: Comparative Study; Evaluation Studies; Journal Article |
Journal Detail:
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Title: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Volume: 9 ISSN: - ISO Abbreviation: Med Image Comput Comput Assist Interv Publication Date: 2006 |
Date Detail:
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Created Date: 2007-03-14 Completed Date: 2007-04-06 Revised Date: 2009-12-11 |
Medline Journal Info:
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Nlm Unique ID: 101249582 Medline TA: Med Image Comput Comput Assist Interv Country: Germany |
Other Details:
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Languages: eng Pagination: 364-72 Citation Subset: IM |
Affiliation:
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TU Munich, Germany. sielhors@cs.tum.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Computer Graphics* Depth Perception / physiology* Humans Imaging, Three-Dimensional / methods* Task Performance and Analysis* User-Computer Interface* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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