Compressed sensing MRI reconstruction from 3D multichannel data using GPUs
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26636
Abstract: To accelerate iterative reconstructions of compressed sensing (CS) MRI from 3D multichannel data using graphics processing units (GPUs). read more here.
Keywords: data using; compressed sensing; mri reconstruction; multichannel data ... See more keywords
Compressed Sensing MRI by Integrating Deep Denoiser and Weighted Schatten P-Norm Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3122338
Abstract: To efficiently reconstruct magnetic resonance images (MRI) from highly undersampled measurements by using compressed sensing (CS), in this letter, we propose a hybrid regularization model from deep prior and low-rank prior. The local deep prior… read more here.
Keywords: weighted schatten; low rank; schatten norm; compressed sensing ... See more keywords