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Using high resolution displays for high resolution cardiac data

Goodyer, C., Hodrien, J., Wood, J., Kohl, P. and Brodlie, K.W. (2009) Using high resolution displays for high resolution cardiac data. The Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367 (1898). pp. 2667-2677. ISSN 2667-2677

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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 rendering and visualization must evolve. In this paper we address the interactive display of data from high resolution MRI scanning of a rabbit heart and subsequent histological imaging. We describe a visualization environment involving a tiled LCD panel display wall and associated software which provide an interactive and intuitive user interface. The oView software is an OpenGL application which is written for the VRJuggler 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 both Leeds and Oxford Universities. We discuss important factors to be considered for interactive 2D display of large 3D datasets, including the use of intuitive input devices and level of detail aspects.

Item Type: Article
Copyright, Publisher and Additional Information: © 2009 Goodyer et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by-nc/2.5/
Keywords: High resolution displays, cardiac imaging, visualization
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Miss Jamie Grant
Date Deposited: 31 Jul 2009 11:13
Last Modified: 15 Sep 2014 05:23
Published Version: http://dx.doi.org/10.1098/rsta.2009.0034
Status: Published
Publisher: Royal Society
Refereed: Yes
Identification Number: 10.1098/rsta.2009.0034
URI: http://eprints.whiterose.ac.uk/id/eprint/9035

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