Visualization tools for high angular resolution diffusion imaging

Shattuck, D. W., Chiang, M. C., Barysheva, M., McMahon, K. L., de Zubicaray, G. I., Meredith, M., Wright, M. J., Toga, A. W., & Thompson, P. M. (2008) Visualization tools for high angular resolution diffusion imaging. In Metaxas, Dimitris, Axel, Leon, Fichtinger, Gabor, & Szekely, Gabor (Eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II, Springer Berlin Heidelberg, New York, USA, pp. 298-305.

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Abstract

There is a major effort in medical imaging to develop algorithms to extract information from DTI and HARDI, which provide detailed information on brain integrity and connectivity. As the images have recently advanced to provide extraordinarily high angular resolution and spatial detail, including an entire manifold of information at each point in the 3D images, there has been no readily available means to view the results. This impedes developments in HARDI research, which need some method to check the plausibility and validity of image processing operations on HARDI data or to appreciate data features or invariants that might serve as a basis for new directions in image segmentation, registration, and statistics. We present a set of tools to provide interactive display of HARDI data, including both a local rendering application and an off-screen renderer that works with a web-based viewer. Visualizations are presented after registration and averaging of HARDI data from 90 human subjects, revealing important details for which there would be no direct way to appreciate using conventional display of scalar images.

Impact and interest:

8 citations in Scopus
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5 citations in Web of Science®

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ID Code: 85833
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1007/978-3-540-85990-1_36
ISBN: 9783540859901
ISSN: 0302-9743
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2008 Springer Berlin Heidelberg
Deposited On: 12 Nov 2015 23:20
Last Modified: 02 Dec 2015 03:42

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