OptimizedParallel Combination of Deep Networks and Sparsity Regularization for MR Image Reconstruction (OPCoNS)

Author:Avrajit Ghosh  Shijun Liang  Anish Lahiri  Saiprasad Ravishankar  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction I  

Program Number:3487  

Room Session:1  

Institution:Michigan State University  University of Michigan  

Optimizing k-space averaging patterns for advanced denoising-reconstruction methods

Author:Jiayang Wang  Justin Haldar  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction III  

Program Number:4052  

Room Session:1  

Institution:University of Southern California  

Parallel Greedy Learning for Accelerating Cardiac Cine MRI

Phase distribution graphs for differentiable and efficient simulations of arbitrary MRI sequences

Physics-based data-augmented deep learning without fully sampled dataset for multi-coil magnetic resonance imaging

Polynomial Preconditioning for Accelerated Convergence of Proximal Algorithms including FISTA

Author:Siddharth Iyer  Frank Ong  Kawin Setsompop  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction I  

Program Number:3483  

Room Session:1  

Institution:Massachusetts Institute of Technology  Stanford University  

Practical Approaches to the Evaluation of Signal-to-Noise Ratio Performance with Deep Learning Denoising Image Reconstruction

Properties of 2D MR image reconstructions with deep neural networks at high acceleration rates

Quantifiable study of magnetic resonance super resolution reconstruction in Placenta Accreta Spectrum using Image Quality Metrics

Quantification of grey matter sodium content in joint sodium MR reconstructions using anatomical regularization and T2* estimation at 3T

Radial Maxwell correction for real-time phase-contrast MRI using spoke clustering

Author:Jost Kollmeier  Jens Frahm  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Novel Image Reconstruction Techniques I  

Program Number:3282  

Room Session:1  

Institution:Max-Planck-Institut für biophysikalische Chemie  

Radiomic feature-based assessment of deep learning-based compressed sensing reconstruction

Rapid 3D MR cholangiopancreatographyin abreath-hold using deep learning constrained Compressed SENSEreconstruction

Rapid high-resolution cranial bone MRI using deep-learning prior image reconstruction

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

Reconstruction for Simultaneous Multi-Slab Spatiotemporal Encoding (SMS SPEN) Using Split Slice-GRAPPA combined with CAIPIRINHA

Recurrent Variational Inference for fast and robust reconstruction of accelerated FLAIR MRI in Multiple Sclerosis

Refined feature selection method for the depiction of pathology by texture analysis – Applicated on MR images of intervertebral discs fissures

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

The relationship between structural asymmetry and shear stiffness asymmetry in the human brain

Reproducibility of IVIM Quantification Across Diffusion Gradient Waveforms using Pseudo-Diffusion and Physical IVIM Signal Models

Rigorous Uncertainty Estimation for MRI Reconstruction

Rotational invariants of the cumulant expansion (RICE)

Author:Santiago Coelho  Els Fieremans  Dmitry Novikov  

Session Type:Oral  

Session Date:Thursday, 12 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Signal Representations  

Program Number:0751  

Room Session:ICC Capital Hall 2  

Institution:New York University, school of medicine  

Self-Calibrating Aliasing-Controlled Simultaneous Multi-Slice MR Image Reconstruction from Generalized 3D Fourier Encoding Perspective

SENSE-based multipeak water/fat separation for diffusion-weighted imaging using self-navigated interleaved EPI

SENSE-like reconstruction of multi-average body DWI to remove motion-induced signal loss: application in liver DWI

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

A single artificial neural network solution to detect pancreatic and lung cancer from high-resolution 1H MR plasma/serum spectra

Sinogram Transformers: Accelerating Radial MRI using Vision Transformers

Author:David Parra  Phillip Martin  Maria Altbach  Ali Bilgin  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction III  

Program Number:4045  

Room Session:1  

Institution:University of Arizona  

SSTN: Self-supervised Triple-Network with Multi-scale Dilated-Convolution for Fast MRI Reconstruction

A Subspace EPTI Reconstruction with Magnitude-only Bases andSynergistic Phase Bias Updatingfor Distortion-Free Diffusion-Relaxometry MRI

Susceptibility Weighted MRI for Predicting Critical Developmental Regulatory S100 Proteins in Meningiomas at 3T

Synergistic Combination of Golden-angle Radial Sampling and Dual-Subspace Modeling for Rapid and Robust High Spatiotemporal Resolution MRA

Author:Zhifeng Chen  Lirong Yan  

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:3445  

Room Session:3  

Institution:University of Southern California  

Systematic Standardization of Deep Learning Based Accelerated MRI Reconstruction Pipelines

T1-weighted ZTE MRI with phase-modulated RF and a parallel imaging, inverse problem-based reconstruction

The Effect of Sliding Window Reconstruction with Multiplexed-Sensitivity Encoding on Multi-shot Resting-State fMRI Data

Training a tunable, spatially-adaptive denoiser without clean targets

Two-Step Semi-Supervised Denoising for Low-field Diffusion MRI

Understanding and Reducing structural bias in deep learning-based MR reconstruction

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:3479  

Room Session:1  

Institution:Harvard Medical School  

An untrained deep learning method with model-based regularization for reconstructingdynamicMR images from retrospectively accelerated data

Using Low Rank Plus Sparse (L+S) Reconstruction to Accelerate Dynamic Hyperpolarized 13C Spiral Chemical Shift Imaging In Vivo

Author:Minjie Zhu  Aditya Jhajharia  Joshua Rogers  Mayer Dirk  

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:3455  

Room Session:3  

Institution:University of Maryland, Baltimore  

Validation of non-invasive MR measurement of feto-placental oxygen saturation in a sheep model of human pregnancy

Vascular Heterogeneity Model-based Deep Learning Reconstruction for High-Definition Dynamic Contrast Enhanced MRI

VERDICT MRI for tumor tissue characterization – separating viable tumor from necrosis