Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers

被引:0
作者
Thomas Dratsch
Florian Siedek
Charlotte Zäske
Kristina Sonnabend
Philip Rauen
Robert Terzis
Robert Hahnfeldt
David Maintz
Thorsten Persigehl
Grischa Bratke
Andra Iuga
机构
[1] University of Cologne,Department of Diagnostic and Interventional Radiology
[2] Faculty of Medicine and University Hospital Cologne,undefined
[3] Philips GmbH Market DACH,undefined
[4] Hamburg,undefined
来源
European Radiology Experimental | / 7卷
关键词
Artifacts; Artificial intelligence; Deep learning; Magnetic resonance imaging; Shoulder joint;
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