Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy
Author:
Affiliation:
1. Departments of Radiology and Biomedical Research; University of Bern; Bern Switzerland
2. Graduate School for Cellular and Biomedical Sciences; University of Bern; Bern Switzerland
Funder
European Marie-Curie Initial Training Network “TRANSACT”
Swiss National Science Foundation
Publisher
Wiley
Subject
Radiology Nuclear Medicine and imaging
Reference43 articles.
1. Issues of spectral quality in clinical 1H-magnetic resonance spectroscopy and a gallery of artifacts;Kreis;NMR Biomed,2004
2. Mimicking the human expert: pattern recognition for an automated assessment of data quality in MR spectroscopic images;Menze;Magn Reson Med,2008
3. Automatic quality control in clinical 1 H MRSI of brain cancer;Pedrosa de Barros;NMR Biomed,2016
4. Automated quality control protocol for MR spectra of brain tumors;Wright;Magn Reson Med,2008
5. Quality of clinical brain tumor MR spectra judged by humans and machine learning tools;Kyathanahally;Magn Reson Med,2018
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