Correcting gradient chain-induced fat quantification errors in multi-echo SoS acquisition using the gradient impulse response function

Deep Learning-based Quantification of Proton Density Fat Fraction and R2* in the Liver

DeepCEST 3T: Robust neural network prediction of 3T CEST MRI parameters including uncertainty quantification

Fat suppression using a rosette trajectory for low field magnetic resonance imaging

A non-local filtering based approach for high quality quantitative susceptibility mapping reconstruction

OG-DNN: Orientation-Grasp Deep Neural Network for Quantitative Susceptibility Mapping

Perfusion Quantification Validation on a Numerical Vascular Network of the Kidney: Traditional Kety’s Method vs Quantitative Transport Mapping

Quantitative Susceptibility Mapping from 3D Magnetic Resonance Fingerprinting with Quadratic RF Phase Data

Author:Rasim Boyacioglu  Mark Griswold  

Institution:Case Western Reserve University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:CEST, MT, Zero-TE and Relaxometry  

Session Name:Contrast Mechanisms: Acquisition & Fitting Methods  

Program Number:0520  

Room Live Q&A Session:Tuesday Parallel 1  

Tailored spectral-spatial saturation pulses for spatially uniform saturation in CEST imaging

Towards Absolute Quantification of Macromolecular Proton Content using Cross-Relaxation Imaging

Transient-State Inhomogeneous Magnetisation Transfer: Towards Magnetisation Transfer Fingerprinting

Unsupervised Deep Learning-based Magnetization Transfer Contrast (MTC) MR Fingerprinting and CEST MRI