Image: Eric LaMar - Dataset courtesy of: Center for Neuroscience, UC Davis (1400 slices, 12GB)
Visualization of large-scale data sets requires advanced techniques in image processing, hierarchical data management, and data reduction. The LSV (Large Scale Visualization) project addresses the issue of developing interactive rendering methods for datasets, which cannot be stored on a single harddrive or in main memory anymore.
The above picture shows a single cross-section from a dataset of 1400 slices of a monkey brain, which has been scanned at the Center for Neuroscience at UC Davis at a very high resolution (more than 10MB per image in compressed format[!]). This dataset reveals detailed information about the structure of the brain down to the cell level. The following picture shows a detail view of the above image.
Enhanced detail view
Our goal is the development of interactive visualization techniques for large-scale datasets based on hierarchical representations and immersive visualization environments, such as the Virtual Workbench (stereoscopic display device with interaction facilities). We want to explore 3D datasets in an intuitive way at high resolution and at unrivaled precision.
Dataset courtesy of: Arthur W. Toga, Department of Neurology, UCLA School of Medicine, Los Angeles (1472*1152*753*RGB = 3.57 GB)
To contact us, please send an e-mail or a letter to the following address:
University of California, Irvine
Department of Biomedical Engineering
644E Engineering Tower
Irvine, CA 92697-2625
Phone: (949) 824-9321
Fax: (949) 824-3203
Please check out our other project pages (related work):
|Computer Aided Image Processing for Medical Applications|
|Last modified: Thu Dec 9 13:17:26 PST firstname.lastname@example.org|