Application of the limited-memory quasi-Newton algorithm for multi-dimensional, large flip-angle RF pulses at 7T.

Mads Sloth VindingDaniel BrennerDesmond H Y TseSebastian VellmerThomas VosegaardDieter SuterTony StöckerIvan I Maximov

Published in: Magma (New York, N.Y.) (2016)

We obtained excellent outer-volume suppression with our proposed method, thus enabling reduced field-of-view imaging using pulse trajectory acceleration factors up to 4.

Keyphrases

high resolution
machine learning
blood pressure
deep learning
working memory
mass spectrometry