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Using high-resolution displays for high-resolution cardiac data

Abstract:

The ability to perform fast, accurate, high-resolution visualization is fundamental to improving our understanding of anatomical data. As the volumes of data increase from improvements in scanning technology, the methods applied to visualization must evolve. In this paper, we address the interactive display of data from high-resolution magnetic resonance imaging scanning of a rabbit heart and subsequent histological imaging. We describe a visualization environment involving a tiled liquid crystal display panel display wall and associated software, which provides an interactive and intuitive user interface. The oVIEW software is an OpenGL application that is written for the VR JUGGLER environment. This environment abstracts displays and devices away from the application itself, aiding portability between different systems, from desktop PCs to multi-tiled display walls. Portability between display walls has been demonstrated through its use on walls at the universities of both Leeds and Oxford. We discuss important factors to be considered for interactive two-dimensional displays of large three-dimensional datasets, including the use of intuitive input devices and level of detail aspects.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsta.2009.0034

Authors

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Institution:
University of Leeds
Department:
School of Computing
Role:
Author
More by this author
Institution:
University of Leeds
Department:
School of Computing
Role:
Author
More by this author
Institution:
University of Leeds
Department:
School of Computing
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author
More by this author
Institution:
University of Leeds
Department:
School of Computing
Role:
Author


Publisher:
Royal Society Publishing
Journal:
Philosophical Transactions of the Royal Society A More from this journal
Volume:
367
Issue:
1898
Pages:
2667-2677
Publication date:
2009-07-01
Edition:
Publisher's version
DOI:
EISSN:
1471-2962
ISSN:
1364-503X


Language:
English
Keywords:
UUID:
uuid:072fd4e4-8661-4601-8a53-f192049b24fe
Local pid:
ora:9711
Deposit date:
2015-01-09
ARK identifier:

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