B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI-Reference-Cited by-同舟云学术

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

Author:

Wang Guanhua¹^ORCID,Luo Tianrui¹^ORCID,Nielsen Jon-Fredrik¹,Noll Douglas C.²^ORCID,Fessler Jeffrey A.²^ORCID

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

Link

Reference60 articles.

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

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

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Deep learning for accelerated and robust MRI reconstruction;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-07-23

3. Artificial intelligence for neuro MRI acquisition: a review;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-06-26