LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "sensing mri" as a keyword



Photo by sarahsosiak from unsplash

Compressed sensing MRI reconstruction from 3D multichannel data using GPUs

Sign Up to like & get
recommendations! 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 & get
recommendations! 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

Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction.

Sign Up to like & get
recommendations! Published in 2024 at "IEEE transactions on computational imaging"

DOI: 10.1109/tci.2024.3477329

Abstract: Model-based methods play a key role in the reconstruction of compressed sensing (CS) MRI. Finding an effective prior to describe the statistical distribution of the image family of interest is crucial for model-based methods. Plug-and-play… read more here.

Keywords: plug play; reconstruction; sensing mri; compressed sensing ... See more keywords

Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Computational Imaging"

DOI: 10.1109/tci.2025.3625052

Abstract: In compressed sensing (CS) MRI, model-based methods are pivotal to achieving accurate reconstruction. One of the main challenges in model-based methods is finding an effective prior to describe the statistical distribution of the target image.… read more here.

Keywords: driven denoisers; mri; reconstruction; sensing mri ... See more keywords