Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Journal: Magnetic resonance in medicine

Published Date: Mar 23, 2018

Abstract

PURPOSE: To obviate online slice-by-slice RF shim optimization and reduce B1+ mapping requirements for patient-specific RF shimming in high-field magnetic resonance imaging.

Authors

Julianna D Ianni

Vanderbilt University Institute of Imaging Science, Nashville, Tennessee.
Zhipeng Cao

Vanderbilt University Institute of Imaging Science, Nashville, Tennessee.
William A Grissom

Vanderbilt University Institute of Imaging Science, Nashville, Tennessee.

Keywords

Algorithms Brain Computer Simulation Databases, Factual Head Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Phantoms, Imaging Supervised Machine Learning

External Resources

View on PubMed Access via DOI PubMed (29572990)

Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Abstract

Authors

Keywords

External Resources

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