B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Author:

Wang Guanhua1ORCID,Luo Tianrui1ORCID,Nielsen Jon-Fredrik1,Noll Douglas C.2ORCID,Fessler Jeffrey A.2ORCID

Affiliation:

1. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA

2. Department of EECS, University of Michigan, Ann Arbor, MI, USA

Funder

NIH

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Reference60 articles.

1. Deep ADMM-Net for compressive sensing MRI;yang;Proc Adv Neural Inf Process Syst,2016

2. On the Generation of Sampling Schemes for Magnetic Resonance Imaging

3. Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT);wang;arXiv 2111 02912,2021

4. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention-MICCAI,2015

5. PILOT: Physics-informed learned optimized trajectories for accelerated MRI;weiss;Mach Learn Biomed Imag,2021

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