IMPULSED model-based brain tumor microstructural parameter estimation with deep neural network

Integrated T1rho Dispersion Imaging and Quantification

Integrating Subspace Learning, Manifold Learning, and Sparsity Learning to Reconstruct Image Sequences

Integrating time division multiplexing (TDM) and simultaneous multi-slice (SMS) for accelerating combined diffusion-relaxometry

Integration of blip reversal with CAIPI sampling enables simultaneous correction of slice aliasing and distortion in 3D multi-slab diffusion MRI

Author:Ziyu Li  Karla Miller  Wenchuan Wu  

Session Type:Power Pitch  

Session Date:Tuesday, 10 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Pitch: Image Reconstruction & Signal Models  

Program Number:0246  

Room Session:Power Pitch Theatre 2  

Institution:University of Oxford  

Intravoxel B0 Corrected Image Reconstruction with RF Prephasing

Iterative Model-Based Image Reconstruction of RF gradient-based MRI

Author:Taylor Froelich  Michael Garwood  

Session Type:Digital Poster  

Session Date:Wednesday, 11 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Novel Image Reconstruction Techniques I  

Program Number:2339  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Minnesota  

Joint recovery of time aligned multi-slice dynamic speech MR images from under-sampled data using a deep generative manifold model

Author:Rushdi Zahid Rusho  Qing Zou  Mathews Jacob  Sajan Lingala  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction II  

Program Number:3503  

Room Session:2  

Institution:The University of Iowa  

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

K-space refinement method for DL-based MR reconstruction by regularizing k-space null space constraint with auto-calibrated kernel

Author:Kanghyun Ryu  Cagan Alkan  Shreyas Vasanawala  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction I  

Program Number:3478  

Room Session:1  

Institution:Stanford  Stanford University  

Learned Subspace Model Enables Ultrafast Neonatal Brain MR Imaging

Learning Deep Linear Convolutional Transforms For Accelerated MRI

A Least-squares Method for Improved Sensitivity Map Estimation when Imaging X-Nuclei

Locally low-rank denoising of multi-echo fMRI data preserves detection of resting-state networks following scan truncation

A Locally Structured Low-Rank Tensor Method Using Submatrix Constraints for Joint Multi-echo Image Reconstruction

Low Latency Real-Time MRI at 0.55T using Self-Calibrating Through-Time GRAPPA

Low-Rank Inversion Reconstruction for Through-Plane Accelerated Radial MR Fingerprinting at 0.35T

Author:Nikolai Mickevicius  Carri Glide-Hurst  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction III  

Program Number:4044  

Room Session:1  

Institution:University of Wisconsin-Madison  

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

Magnetic Resonance Spectroscopic Imaging Data Denoising by Manifold Learning: An Unsupervised Deep Learning Approach

Mapping Rodent Brain Mechanical Properties In Vivo with Magnetic Resonance Elastography and Nonlinear Inversion

Measurements of cell size and density using temporal diffusion spectroscopy distinguish hepatocellular carcinoma

Memory Efficient Model Based Reconstruction for Volumetric Non-Cartesian Acquisitions using Gradient Checkpointing and Blockwise Learning

Author:Zachary Miller  Kevin Johnson  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction I  

Program Number:3480  

Room Session:1  

Institution:University of Wisconsin-Madison  

Memory-friendly and Robust Deep Learning Architecture for Accelerated MRI

Model-based Image Reconstruction in Looping-star MRI

Model-based PSF-encoded multi-shot EPI reconstruction with low-rank constraints

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  

MR Image Reconstruction via Zero-Shot Learned Generative Adversarial Transformers

Author:Salman Ul Hassan Dar  Yilmaz Korkmaz  Tolga Cukur  

Session Type:Oral  

Session Date:Wednesday, 11 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction  

Program Number:0502  

Room Session:N11 (Breakout B)  

Institution:Bilkent University  

MRI Regularization for Low-Count PET Image Recovery using Unsupervised Learning Without the Need of Training Set - A Multi-Tracer PET/MRI Study

MRSI spectral quantification using linear tangent space alignment (LTSA)-based manifold learning

Multi-Adaptive Convolutional Neural Network Reconstruction (MA-CNNR) for Parallel Imaging at 1.5T Brain Images

Multi-contrast Multi-scale vision Transformers (MMT) for MRI Contrast Synthesis

Multi-domain Neumann Network with Sensitivity maps for Parallel MRI Reconstruction

A multi-echo low-rank and sparse algorithm that reduces the bias of global fluctuations on the estimation of neuronal signal

Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple Contrasts

New Denoising Neural Network for Diffusion Tensor Imaging Signal-to-Noise Ratio Enhancement

Author:Po-Ting Chen  Tzu-Yi Wang  Jyh-Horng Chen  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0950  

Room Session:Exhibition Hall:S8 & S9  

Institution:National Taiwan University  

NLINV-Net: Self-Supervised End-2-End Learning for Reconstructing Undersampled Radial Cardiac Real-Time Data

NOE imaging in tumors using asymmetric analysis of 2pi-CEST signals

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

A Novel Variable-Density Sampling Strategy for 3D Diffusion-Tensor Imaging with 3D-MUSER and Compressed Sensing

Off-Resonance Self-Correction by Implicit Temporal Encoding: Performance at 7T

On the relationship between slice-GRAPPA, LeakBlock, and in-plane GRAPPA in the reconstruction of accelerated MRI data

Once upon a chiasm: Reconstruction of mouse optic pathways with ODF-Fingerprinting

Optimized denoising and removal of partial-Fourier induced Gibbs ringing improves accuracy and robustness of DTI and DKI parameters