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Abstract #2486

Berkeley Advanced Reconstruction Toolbox

Martin Uecker 1 , Frank Ong 1 , Jonathan I Tamir 1 , Dara Bahri 1 , Patrick Virtue 1 , Joseph Y Cheng 2 , Tao Zhang 2 , and Michael Lustig 1

1 Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2 Department of Radiology, Stanford University, Stanford, United States

The high complexity of advanced reconstruction algorithms poses challenges for development and application of new reconstruction methods. Here, we present the Berkeley Advanced Reconstruction Toolbox, a framework for iterative image reconstruction. It consists of a programming library and a toolbox of command-line programs. The library provides common numerical operations and important algorithms including generic implementations of several iterative optimization algorithms. It supports parallel computation using multiple CPUs and GPUs. The command-line tools provide direct access to a wide range of functionality from basic operations on multi-dimensional arrays to complete implementations of advanced calibration and reconstruction algorithms for MRI.

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