A highly parallelized framework for computationally intensive MR data analysis
- 16 November 2011
- journal article
- research article
- Published by Springer Nature in Magnetic Resonance Materials in Physics, Biology and Medicine
- Vol. 25 (4) , 313-320
- https://doi.org/10.1007/s10334-011-0290-7
Abstract
The goal of this study was to develop a comprehensive magnetic resonance (MR) data analysis framework for handling very large datasets with user-friendly tools for parallelization and to provide an example implementation.Keywords
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