Abstract
At Forschungszentrum Karlsruhe the demonstrator of a new medical imaging system based on 3D ultrasound computer tomography will be available at the beginning of 2005. This system requires not only the recording but also the processing of very large datasets of about 3.5 GBytes. On a single PC the reconstruction of a high resolution volume will take up to several weeks. However the reconstruction process can be parallelized. Our long term goal is to accelerate the reconstruction process significantly by the use of GRID technologies. In this paper we present our approach to parallelize the reconstruction by A-scan-decomposition using Java RMI and Matlab.
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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Müller, T.O., Ruiter, N.V., Stotzka, R., Beller, M., Eppler, W., Gemmeke, H. (2005). Ultrasound Computer Tomography, Distributed Volume Reconstruction and GRID Computing. In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_86
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DOI: https://doi.org/10.1007/3-540-26431-0_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25052-4
Online ISBN: 978-3-540-26431-6
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