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What if every voxel was measured with a different diffusion protocol?

Author:Santiago Coelho  Gregory Lemberskiy  Ante Zhu  Nastaren Abad  Thomas Foo  Els Fieremans  Dmitry Novikov  

Session Type:Oral  

Session Date:Monday, 05 June 2023  

Session Name:Data Analysis & Processing  

Program Number:0069  

Room Session:718B  

Institution :GE Research  New York University School of Medicine  

What if every voxel was measured with a different diffusion protocol?

Human Prostate MRI at ultra-high-performance gradient of 200 mT/m and 500 T/m/s

Measuring time-dependent diffusion on a high-performance head-only gradient system at 3T: influence and correction of gradient nonlinearity

Author:Erpeng Dai  Ante Zhu  Grant Yang  Kristin Quah  Ek Tan  Eric Fiveland  Thomas Foo  Jennifer McNab  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:Brain Microstructure: Restriction & Exchange  

Program Number:0689  

Room Session:718B  

Institution :GE Research  Hospital for Special Surgery  Stanford University  

Axonal Diameter Mapping using High Performance Gradients: Feasibility study and Repeatability of Estimates

3D MRI-US multimodal alignment for real-time intervention - a tradeoff between accuracy and computation time

3D MRI-US multimodal alignment for real-time intervention - a tradeoff between accuracy and computation time

White Matter Alterations Evident with DTI, DKI and Axonal Radius Measurements in Clinical Presentation of Chronic Symptomatic mTBI

Time-Dependent OGSE Diffusion MRI with MAGNUS Ultra-High-Performance Gradient Coil for Microstructure Imaging in Glioma Brain Tumor Patients

Deep Learning based prediction of the planes for automated planning of MRI imaging of cervical neural foramina and lumbar pars interarticularis

Author:Chitresh Bhushan  Dattesh Shanbhag  Uday Patil  Trevor Kolupar  Maggie Fung  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2952  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  GE Research  

Deep learning-based saturation band placement in spine localizer images

Author:Ashish Saxena  Chitresh Bhushan  Soumya Ghose  Patil Uday  Kameswari Padmanabhan  Sanjay NT  Dattesh Shanbhag  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2953  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  GE Research  

Task-based evaluation of deep learning-based reconstruction for highly-accelerated 3D T1-weighted brain MRI scans

Deep Learning Reconstruction for 4-fold Accelerated 2DFSE Imaging: optimization of variable density undersampling

Author:Michael Carl  Rafi Brada  Nir Mazor  Daniel Litwiller  Maggie Fung  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Recon & Super Resolution I  

Program Number:4043  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  GE Research  

A Non-linear, Tissue-specific 3D Data Generative Framework for Deep Learning Segmentation Performance Enhancement

Author:Soumya Ghose  Chitresh Bhushan  Dattesh Shanbhag  Desmond Teck Beng Yeo  Thomas Foo  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Segmentation & Registration I  

Program Number:4352  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  GE Research  

Initial experiences assessing the impact of different materials for needle-based interventional devices using advanced DWI and MR thermometry

Evaluating High-Resolution High-b-value OGSE Time-dependent Diffusion in Human Brain at Ultra-high-gradient 3.0T

Compact 7T: Progress in Construction and Assembly of a Low-Cryogen, High-Performance, Head-only High-Field MRI System

Gradient Non-Linearity Calibration for Improved Spatial Position Accuracy with a High-Performance Gradient Using a Fiducial Phantom

Author:Nastaren Abad  Eric Fiveland  Seung-Kyun Lee  Yihe Hua  Shengzhen Tao  Joshua Trazasko  Matt Bernstein  Thomas Foo  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

Session Name:Phantoms & Repeatability II  

Program Number:5219  

Room Session:Exhibition Halls D/E  

Institution :GE Research  Mayo Clinic  

The Magnet: Cryogen-filled to Cryogen-free

Author:Thomas Foo  

Session Type:Weekend Course  

Session Date:Saturday, 03 June 2023  

Session Name:MR Engineering I: MR Systems for Experts-to-Be  

Program Number:

Room Session:718B  

Institution :GE Research