swMATH ID: 21680
Software Authors: Jyh-Miin Lin
Description: Python Non-Uniform Fast Fourier Transform (PyNUFFT): multi-dimensional non-Cartesian image reconstruction package for heterogeneous platforms and applications to MRI. This paper reports the development of a Python Non-Uniform Fast Fourier Transform (PyNUFFT) package, which accelerates non-Cartesian image reconstruction on heterogeneous platforms. Scientific computing with Python encompasses a mature and integrated environment. The NUFFT algorithm has been extensively used for non-Cartesian image reconstruction but previously there was no native Python NUFFT library. The current PyNUFFT software enables multi-dimensional NUFFT on heterogeneous platforms. The PyNUFFT also provides several solvers, including the conjugate gradient method, ℓ1 total-variation regularized ordinary least square (L1TV-OLS) and ℓ1 total-variation regularized least absolute deviation (L1TV-LAD). Metaprogramming libraries were employed to accelerate PyNUFFT. The PyNUFFT package has been tested on multi-core CPU and GPU, with acceleration factors of 6.3 - 9.5× on a 32 thread CPU platform and 5.4 - 13× on the GPU.
Homepage: https://github.com/jyhmiinlin/pynufft
Source Code:  https://github.com/jyhmiinlin/pynufft
Keywords: Medical Physics; arXiv physics.med-ph; Distributed; Parallel; and Cluster Computing; arXiv cs.DC; Image and Video Processing; arXiv eess.IV; arXiv; Heterogeneous system architecture (HSA); graphic processing unit (GPU); multi-core system; metaprogramming; l1 total variation regularized reconstruction
Related Software: NFFT3; SciPy; Python; gpuNUFFT; BART; MIRT; FINUFFT; NFFT; DLMF; emcee; PyMultiNest; PyAutoFit; NumPy; Numba; Matplotlib; dynesty; corner.py; COLOSSUS; Astropy; pyquad
Cited in: 2 Publications

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