pywshfl

SigPy[1] implementation of Wave-Shuffling[2,3].

Acknowledgements:

• Data from BrainWeb[4], provided by kind courtesy of Dr. Bo Zhao.

Citations:

1. SigPy: A Python Package for High Performance Iterative Reconstruction. In Proceedings of the International Society for Magnetic Resonance in Medicine, 2019.
2. Faster T2-Shuffling with Wave-Encoding. In Proceedings of the International Society for Magnetic Resonance in Medicine, 2018.
3. Rapid, Time-Resolved Brain Imaging with Multiple Clinical Contrasts using Wave-Shuffling. In Proceedings of the International Society for Magnetic Resonance in Medicine, 2019.
4. Collins D, Zijdenbos A, Kollokian V, Sled J, Kabani N, Holmes C, Evans A. Design and construction of a realistic digital brain phantom. IEEE Trans. Med. Imaging, vol. 17, pp. 463–468. 1998.