GE HealthCare is pleased to announce the following abstracts that were accepted for presentation at the 2024 Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) scheduled to be held May 4-9 in Singapore. Beyond AIR™ Recon DL and Sonic DL™ Cine, GE HealthCare continues its commitment to advancing MR imaging through deep-learning-based technologies, novel acquisition techniques and high-performance gradient systems.
AI/Deep Learning
A Deep Learning Prediction Model for Deep Brain Stimulation Optimization by fMRI
University Health Network
Integrated Multi-label 3D Deep Learning Multi-task Model for Intelligent MR Spine Scan Planning
GE HealthCare
Contrast neutralization as a strategy to achieve generalizability in MR deep learning applications
GE HealthCare
Deep Learning based Phase Correction with Noise and Artifacts Removal for MERGE
GE HealthCare
Combining domain knowledge and foundation models for one-shot spine labeling
GE HealthCare
Deep Learning for MR-only Radiation Therapy Planning in the Head&Neck: Synthetic CT conversion, Organ-At-Risk Segmentation and MR Scan Performance Improvement
Erasmus Medical Center
Data Driven Metric Learning from Foundation Model for One-shot Localization and Segmentation of MR Shoulder Localizer Volume Data to drive AutoLocalzier workflow.
GE HealthCare
Motion Correction in Multi-shot Acquisitions by Removal of Motion-ridden Shots to fill with Unrolled DL Reconstruction
Brigham and Women’s Hospital
Automatic spine station identification from surface coil sensitivity maps of MR imaging using deep learning
GE HealthCare
Reduced Noise and Motion Artifacts for MUSE Reconstruction using Deep Learning-based Phase Correction
GE HealthCare
Deep Learning enhanced joint reconstruction and Nyquist ghost correction in multiband diffusion imaging via dynamic self-phase-error estimation and pseudo-sensitivity based virtual channel combination.
Mayo Clinic; Stanford University
Deep learning based chemical shift artifact reduction in Zero Echo Time (ZTE) MRI
GE HealthCare
MR contrast-invariant deep learning method for Synthetic CT generation and evaluation of its quantitative accuracy
Newcastle University
Prospective Quality Metric Assessment of SyntheticCT Images as a Confidence Predictor of the Deep Learning model
University of Zurich
MR Thermometry with a Deep-Learning Reconstruction
University of Iowa
DL based reconstruction method for an undersampled PROPELLER MRI data
GE HealthCare
Metal artifact synthesis: Enabling inclusive Deep learning for patients with implants
GE HealthCare
DL-based Phase Correction Enables Robust Real Diffusion-Weighted MRI with Increased Diffusion Contrast
GE HealthCare
Body/Vascular
Use of distortion correction combined with deep learning reconstruction in diffusion-weighted MRI: how does image quality compare to conventional acquisition?
Inova Fairfax Hospital
Respiratory-resolved 4D MRI: Further enhancements on the interplay of DL reconstruction and binning strategies
Massachusetts General Hospital
A Two Step Workflow to Support Fully Autonomous MR Scanning in Prostate
GE HealthCare
Utilizing a novel deep learning algorithm to improve pediatric abdominal 3D LAVA-Flex image quality
Massachusetts General Hospital
Application of a novel deep learning algorithm to routine liver 3D LAVA-Flex acquisitions
Massachusetts General Hospital
Improving Image Quality of Dynamic Contrast Enhanced Abdominal MRI Using a Novel Deep Learning Reconstruction
Massachusetts General Hospital
Optimizing Temporal Resolution of Dynamic Contrast Enhanced Abdominal MRI Using Deep Learning Reconstruction
Massachusetts General Hospital
Scalable and Transferable U-Net for Accurate Simultaneous 3D MRI Segmentation of Gestational Sac and Decidual Tissue in Cesarean Scar Pregnancy
GE HealthCare
Fast and High-Resolution Intracranial MR Angiography at 7T using FLEXA
GE HealthCare
Motion-robust distortion-free breast MRI using DWI-PROPWLLER with deep learning reconstruction
University of Washington
Cardiac
Optimization of variable-density undersampling for accelerated myocardial delayed enhancement with deep learning reconstruction
Inova Fairfax Hospital
Analysis of accuracy and accuracy requirements for an automated cMR slice prescription tool
GE HealthCare
An appropriate threshold for LGE images using deep learning-based reconstruction in revelation clinically unrecognized myocardial infarction
GE HealthCare
Cardiovascular MR Multitasking T1-T2 Joint Mapping in Healthy Subjects and Cardiomyopathy Patients on both 1.5T and 3T
Cedars-Sinai Mecial Center
Core Technology
Prospective gradient nonlinearity correction for diffusion MRI: uncover lost sensitivity to non-Gaussian diffusion and tissue microstructure
University of Michigan
Approaches for correcting motion in diffusion-weighted imaging acquired using diffusion gradient cycling
GE HealthCare
Evaluating Specific Absorption Rate Effects of a Flexible Receive-Only Coil With Various Blocking Configurations via Simulation
Weill Cornell Medicine
Adaptable Twenty-Channel Supine Breast Coil for MRI
GE HealthCare
MR Sequence Design in the Low Stochastic Regime - development of a low-SAR T2-weighted scan
Oxford University
Multi-Channel PROPELLER-MRI Acceleration using NUFFT Compressed Sensing at mid field MRI of 0.5T
GE HealthCare
The SNR-Optimal Sodium MRI Encoding
Aarhus University
Feasibility of motional eddy current-reduced, passive eddy current shielding of MRI gradient coils
GE HealthCare
Eddy current heating of weakly conductive objects in high-performance gradient coils
GE HealthCare
Slice-by-slice B0 Shimming for high-resolution diffusion MRI with an ultra-high performance head-only gradient
Uniformed Services University of the Health Sciences
Robust inter-blade and inter-slice motion correction reconstruction for PROPELLER MRI
GE HealthCare
A Novel 30-Channel Ultra-flexible Phased-Array for High-Resolution and Parallel Imaging Optimized MR Hand/Wrist/Brachial Plexus Imaging at 3T
Hospital for Special Surgery
Hardware/Systems
Simultaneous MRI and Ultrasound Imaging on a High-performance Gradient Platform
University of Iowa; University of Wisconsin Madison; University of Michigan
MSK
Cartilage and Meniscus Segmentation for Knee MRIs: 2D, 3D and Foundational Models
GE HealthCare
Initial clinical experience of ZTE based bone imaging with DL-based Chemical Shift Correction
Cliniques Universitaires Saint-Luc
Quantitative Assessment of Segmented Masks: A Deep Learning Regression and Classification Study
GE HealthCare
3D UTE With Twisted Trajectories
University of California San Diego
Fast spin-echo triple-echo dixon (fTED) for fat suppression at 0.5T in the presence on knee implant.
Manipal Hospital
Deep learning based reconstruction 3D ZTE-MRI for calcium deposit using computed tomography as reference
GE HealthCare
Improved Fat Suppression in 3-Dimensional Double-Echo Steady-State Sequence with Water Excitation using Modified DIXON Technique
Hospital for Special Surgery
Neuro
Dynamics of Respiratory Motion in Slow Flow Measurement using Simultaneous Coherent and Incoherent Motion Imaging Method
Walter Reed National Military Medical Center
Silent Looping Star fMRI with enhanced Encoding and Reconstruction Performance
King’s College London
Submillimeter Isotropic Whole Brain Diffusion Tensor Imaging at 3T with 2D Multi-band Multi-shot EPI acquisition and Deep Learning Reconstruction
Duke University
Non-Linear Echo Combination Allows for Reduced Scan Times in T2* Weighted Imaging at 1.5T
GE HealthCare
Rapid high-resolution whole-brain 3D multi-parametric and multi-contrast MRI with DL-based acquisition & reconstruction
GE HealthCare
Application and Assessment of Deep Learning to Routine 2D T2 FLEX Spine Imaging
Beth Israel Deacones Medical Center
Two novel applications of 3D amplified MRI (aMRI)
Mātai Medical Research Institute
Optimization of Simultaneous Coherent/Incoherent Motion Imaging (SCIMI): Combined Diffusion and Velocimetry Mapping for Glymphatic Circulation
Walter Reed National Military Medical Center
Myelin Water Imaging on MAGNUS (high-performance Mesoscale Anatomy Gradient for Neuroimaging with Ultrafast Scanning) system
University of British Columbia
A high-resolution MT-weighted Zero Time Echo sequence for 7T - initial experience with healthy volunteers and Multiple Sclerosis patients
GE HealthCare
Comparison between MTR_Rex and new quantitative CEST parameter APT_T1 by solving Bloch equation of multiple pool model
Jisenkai Brain Imaging Research Center
Silent resting-state fMRI using Looping Star Multi-echo acquisition in a 3T high-performance gradient (300 mT/m & 750 T/m/s) MRI system (MAGNUS)
Uniformed Services University of the Health Sciences
Cross Site Reproducibility for standard and ultra-high b-value diffusion imaging high-performance gradient 3T MAGNUS MRI systems.
University of Iowa; University of Wisconsin Madison
Comparison of Anatomical Imaging Between a High Performance Head Only and Whole Body Scanners
University of Iowa
Deep learning enhanced DWI MUSE at 0.5T
IIT Madras
Rapid, motion robust T2 and T2FLAIR imaging
Karolinska Institute
Improving Oscillating Gradient Spin Echo based Time Dependent Diffusion Imaging with Deep Learning based Reconstruction: A Feasibility Study
Sun Yat-sen University
Workflow/Visualization
Longitudinal lesion tracking using Self supervised vision transformers.
GE HealthCare
Patient adaptive intelligent MRI scanning with consistent image quality
GE HealthCare
A fully automated implant mode scan workflow
Hospital for Special Surgery
