Deep generative MRI reconstruction for unsupervised Gibbs ringing correction

A deep learning based direct mapping method for EPI image reconstruction

Deep Learning based MR reconstruction for accelerated 3D-PREFUL ventilation assessment of post-COVID-19 patients from undersampled MR-images

Deep Learning Reconstruction for FRONSAC

Author:Zhehong Zhang  Gigi Galiana  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0848  

Room Session:Exhibition Hall:S8 & S9  

Institution:Yale University  

Deep Plug-and-Play multi-coil compressed sensing MRI with matched aliasing: the Denoising-P-VDAMP algorithm

Author:Charles Millard  Aaron Hess  Boris Mailhe  Jared Tanner  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0844  

Room Session:Exhibition Hall:S8 & S9  

Institution:Siemens  University of Oxford  

Deep Subspace Learning for Improved T1 Mapping using Single-shot Inversion-Recovery Radial FLASH

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

Deep Learning for under-sampled non-cartesian ASL MRI reconstruction

Delta Scan: Reconstruction and Protocol Design for Ultra-fast Longitudinal MRI

Author:Guanhua Wang  Alessandro Francavilla  Sen Ma  Jeffrey Kaditz  Thomas Witzel  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction II  

Program Number:3506  

Room Session:2  

Institution:Q Bio, Inc.  University of Michigan  

Denoising MR Fingerprinting by matching against General Noise Model at 0.55 T

Author:Ruogu Zhu  Nicole Seiberlich  Yun Jiang  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Novel Image Reconstruction Techniques II  

Program Number:3442  

Room Session:3  

Institution:University of Michigan  

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

Distortion Free Image Reconstruction using a Deep Neural Network for an MRI-Linac

A domain-agnostic MR reconstruction framework using a randomly weighted neural network

Author:Arghya Pal  Yogesh Rathi  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction I  

Program Number:3473  

Room Session:1  

Institution:Harvard Medical School  

Dual-domain Self-supervised Learning for Accelerated MRI Reconstruction

Dynamic spectral modes of resting-state BOLD time courses in white matter

Author:Muwei Li  Yurui Gao  Adam Anderson  Zhaohua Ding  John Gore  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction I  

Program Number:3475  

Room Session:1  

Institution:Vanderbilt University Institute of Imaging Science  

The Effect of Label Crossing the Blood-CSF barrier on Partial Volume Correction: source of error or opportunity for quantification?

Effective removal of aliasing artifacts in accelerated echo-planar imaging (EPI) based functional MRI (fMRI)

Author:Silu Han  Chidi Ugonna  Nan-kuei Chen  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction III  

Program Number:4055  

Room Session:1  

Institution:The University of Arizona  

Efficient Bloch Simulation Based on Precomputed State-Transition Matrices

EigenGRASP: Subject-Specific Temporal-Learning Radial Sampling Image Reconstruction in Dynamic Contrast-Enhanced MRI

EigenMRI: Data-driven shallow-learning reconstruction of undersampled MRI data

Author:Ricardo Otazo  Ramin Jafari  Masoud Zarepisheh  

Session Type:Oral  

Session Date:Wednesday, 11 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction  

Program Number:0501  

Room Session:N11 (Breakout B)  

Institution:Memorial Sloan Kettering Cancer Center  

Eliminating limits of spatiotemporal resolution in radial stack-of-stars imaging using FID navigators and single-readout binning

Enzymatic activity monitoring through Dynamic Nuclear Polarization in Earth magnetic field

Estimating Noise Propagation of Neural Network Based Image Reconstructio Using Automated Differentiation

Evaluating the impact of respiratory binning strategies on 4D-MRI reconstruction for an MR-Linac

Evaluation of Neural Network Reconstruction of Undersampled Data using a Human Observer Model of Signal Detection

Explainable multi-contrast deep learning model with anomaly-aware attention for reduced gadolinium dose in CE brain MRI - a feasibility study

Explaining variation inDTI parameters with meningioma microscopy: A comparison between a neural network and an image-feature-based approach

Fast $$$T_{2}^{*}$$$ and QSM mapping using temporal CS with a Complementary Stochastic Sampling Scheme

Fast Quantitative Susceptibility Mapping with Temporal Feature Augmented and Spatiotemporal Sampling Pattern Optimized Network

Author:Jinwei Zhang  Hang Zhang  Pascal Spincemaille  Chao Li  Thanh Nguyen  Mert Sabuncu  Yi Wang  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction II  

Program Number:3501  

Room Session:2  

Institution:Cornell University  Weill Cornell Medicine  

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

Fast Multi-Parametric Mapping with an Extended Spiral and Off-Resonance Readout Correction

Female patientswith atopic dermatitis have reduced functional connectivity in the precuneus and inferior parietal lobe

Flexible FOV image reconstruction using multi-echo 13C imaging with rotating spiral arms

Author:Sung-Han Lin  Junjie Ma  Leon Khalyavin  JaeMo Park  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction II  

Program Number:3505  

Room Session:2  

Institution:UT Dallas  UT Southwestern Medical Center  

A Fourier representation of the diffusion MRI signal

g-CAMP reconstructs multiple b-value diffusion weighted images from a single RESOLVE k-space

Gradual RAKI reconstruction merged with intermittent GRAPPA blurring moderation with limited scan-specific training samples

GRASP-Pro+: GRASP reconstruction with locally low-rank subspace constraint for DCE-MRI

High-Quality 0.5mm Isotropic Functional MRI Using a Synergistic Combination of NORDIC Denoising and Deep Learning Reconstruction

Hybrid image and k-space deep learning reconstruction exploiting spatio-temporal redundancies for 2D cardiac CINE

Identification of NF2 loss in meningiomas using 1H-MRS at 3T

Image Reconstruction with a Self-calibrated Denoiser

Author:Sizhuo Liu  Philip Schniter  Rizwan Ahmad  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction I  

Program Number:3481  

Room Session:1  

Institution:The Ohio State University  

The impact of streak-removal on deep learning reconstruction of radial datasets

Improved Multi-band Multi-shot Diffusion MRI Reconstruction withJointUsage of StructuredLow-rank Constraints andExplicitPhase Mapping

Author:Erpeng Dai  Merry Mani  Jennifer McNab  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Novel Image Reconstruction Techniques II  

Program Number:3447  

Room Session:3  

Institution:Stanford University  University of Iowa  

Improved Neural Network-Based Coil Compression

Improvements of Image Quality of 1H and 129Xe MRI by Using an Advanced Acquisition and Reconstruction Method Coupled with Deep Learning