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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