. Author manuscript; available in PMC: 2021 Jun 14.

Published in final edited form as: Magn Reson Med. 2020 Nov 12;85(4):1821–1839. doi: 10.1002/mrm.28569

TABLE 1.

Overview of the submissions and the main features used to create the results

Submission	Main language	License	NUFFT/gridding-type and kernel interpolation	Sensitivities	CPU/GPU
University of California, Berkeley	Python	MIT	SigPy’s NUFFT/min-max^14,32	SoS (Brain)/ ESPIRiT³³ (Cardiac)	Both
Berlin Ultrahigh Field Facility	Matlab	MIT	BART/Kaiser-Bessel & Toeplitz emb.^19,34–36	SoS	Both
Eindhoven University of Technology	Python	MIT	PyNUFFT/min-max^14,37	None	Both
Swiss Federal Institute of Technology Zurich	Matlab	MIT	In-house/Kaiser-Bessel—nearest¹³	SVD-Walsh¹⁸	CPU
Karolinska Institutet	Matlab	MIT	MIRT/min-max¹⁴	SoS	CPU
Massachusetts General Hospital	Matlab	n/a	BART/Kaiser-Bessel & Toeplitz emb.^19,34–36	ESPIRiT³³	Both
New York University	Matlab	MIT	gpuNUFFT/Kaiser-Bessel—nearest³⁸	Walsh¹⁸	Both
University of Southern California	Matlab	MIT	In-house/Sinc	SoS	CPU
Stanford University	Python	MIT	In-house/Kaiser-Bessel—linear interp.¹³	SoS	CPU
Graz, University of Technology, Institute of Computer Graphics and Vision	Python	LGPL v3.0	gpuNUFFT/Kaiser-Bessel—nearest³⁸	ESPIRiT³³	GPU
Graz, University of Technology, Institute of Medical Engineering	Python	Apache-2	In-house/Kaiser-Bessel—linear interp.¹³	ESPIRiT³³	GPU
Utah Center for Advanced Imaging Research, University of Utah	Matlab	MIT	In-house/min-max¹⁴	Walsh¹⁸	Both