Dynamic CT perfusion image data compression for efficient parallel processing

Abstract

The increasing size of medical imaging data, in particular time series such as CT perfusion (CTP), requires new and fast approaches to deliver timely results for acute care. Cloud architectures based on graphics processing units (GPUs) can provide the processing capacity required for delivering fast results. However, the size of CTP datasets makes transfers… (More)
DOI: 10.1007/s11517-015-1331-6

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Cite this paper

@inproceedings{Barros2015DynamicCP, title={Dynamic CT perfusion image data compression for efficient parallel processing}, author={Renan Sales Barros and S{\'i}lvia Delgado Olabarriaga and Jordi Borst and Marianne A. A. van Walderveen and Jorrit S. Posthuma and Geert J. Streekstra and Marcel van Herk and Charles B. L. M. Majoie and Henk A. Marquering}, booktitle={Medical & Biological Engineering & Computing}, year={2015} }