Application of Compressed Sensing Technology in Rapid Lumbar Magnetic Resonance Imaging

Cascaded hybrid k-space and image generative adversarial network for fast MRI reconstruction

Author:Yuxuan Liu  Yongsheng Pan  Mancheng Meng  Haikun Qi  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Novel Image Reconstruction Techniques III  

Program Number:4690  

Room Session:2  

Institution:ShanghaiTech University  

A Deep Unrolled Network for Reconstruction of Real-time Interventional MRI with Multi-coil Radial Sampling

Densely-overlapped locally low-rank algorithms outperform conventional locally low-rank algorithms for accelerating parametric mapping

Fast and Automatic Rank Determination (ARD) via Deep Learning for Low-rank Calibrationless Reconstruction

Joint Sensitivity Estimation and Image Reconstruction in Parallel Imaging Using Pre-learned Subspaces of Coil Sensitivity Functions

Learned Subspace Model Enables Ultrafast Neonatal Brain MR Imaging

Low-Rank Shot-phaseEstimation for Multi-shot DWI Reconstruction

Motion Aware Deep Learning Accelerated MRI Reconstruction

Author:Kamlesh Pawar  Gary Egan  Zhaolin Chen  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Novel Image Reconstruction Techniques III  

Program Number:4691  

Room Session:2  

Institution:Monash University  

A Novel Three-Dimensional k-Space Reconstruction Method by Spherical Fourier Transform

Reconstructing T2 Maps of the Brain from Highly Sparse k-Space Data with Generalized Series-Assisted Deep Learning

Regularized SUPER-CAIPIRINHA: accelerating 3D variable-flip-angle T1 mapping up to 16-fold with fast reconstruction

Simultaneous Multi-slab DWI Reconstruction with Intrinsic Distortion Correction using Blip-up/down Acquisitions