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B1+ inhomogeneity mitigation using adiabatic refocusing RF pulses for diffusion weighted imaging at 7T

NeXtQSM - A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with synthetic data

A novel type of radiofrequency antenna for multi-regional 7T MRI

Author:Aurelien Destruel  Ewald Weber  Mingyan Li  Jin Jin  Craig Engstrom  Feng Liu  Stuart Crozier  

Session Type:Oral  

Session Date:Monday, 17 May 2021  

Topic:RF Design I  

Session Name:RF Design I  

Program Number:0135  

Room Session:Concurrent 2  

Institution:The University of Queensland  Siemens Healthcare Pty Ltd  

Optical Flow-based Data Augmentation and its Application in Deep Learning Super Resolution

QSMxT - A cross-platform, flexible, lightweight, and scalable processing pipeline for quantitative susceptibility mapping