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Accuracy of Fatty Acid Quantification using Bipolar Multi-Echo MRI for Varying Numbers of Echoes

Automated Billing Code Prediction from MRI Log Data

Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps

Fat Content and Fatty Acid Composition Quantification Using a 3D Stack-of-Radial Trajectory With Adaptive Gradient Calibration

A New Myocardial T1-Mapping Technique: MOSHA

Author:Majid Sohani  Sébastien Roujol  Andrew Powell  Andreas Maier  Mehdi Moghari  

Author Institution:Boston Children’s Hospital, Harvard Medical School  King’s College London  University of Erlangen-Nuremberg  

Session Type:Electronic Poster  

Session Date:Wednesday, 20 June 2018  

Session Time:13:45  

Session:Novel Techniques & Methods  

Program Number:4771  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 24  

Repeatability and Reproducibility of a New Method for Quantifying Triglyceride Saturation Using Bipolar Multi-Echo MRI

Repeatability and Reproducibility of a New Method for Quantifying Triglyceride Saturation Using Bipolar Multi-Echo MRI