Abstract
The size of datasets generated in the medical imaging community is increasing faster than additional processing resources are made available. Even if we can surmount the hurdles in large data handling and processing, the amount of information encoded in these datasets is overwhelming. Therefore effective visualization techniques must allow a user to identify and focus on scientifically interesting subsets of the data. We describe a system for generating high-quality renderings of large volumetric data, and discuss the importance of scalable systems in the medical community.
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© 2009 International Federation for Medical and Biological Engineering
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Fogal, T., Krüger, J. (2009). Size Matters - Revealing Small Scale Structures in Large Datasets. In: Dössel, O., Schlegel, W.C. (eds) World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany. IFMBE Proceedings, vol 25/13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03895-2_13
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DOI: https://doi.org/10.1007/978-3-642-03895-2_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03894-5
Online ISBN: 978-3-642-03895-2
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