Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain

被引：0

作者：

Georg C. Feuerriegel

Kilian Weiss

Sophia Kronthaler

Yannik Leonhardt

Jan Neumann

Markus Wurm

Nicolas S. Lenhart

Marcus R. Makowski

Benedikt J. Schwaiger

Klaus Woertler

Dimitrios C. Karampinos

Alexandra S. Gersing

机构：

[1] Technical University of Munich,Department of Radiology, Klinikum Rechts Der Isar, School of Medicine

[2] Philips GmbH Market DACH,Musculoskeletal Radiology Section, Klinikum Rechts Der Isar, School of Medicine

[3] Technical University of Munich,Department of Trauma Surgery, Klinikum Rechts Der Isar, School of Medicine

[4] Technical University of Munich,Department of Neuroradiology, Klinikum Rechts Der Isar, School of Medicine

[5] Technical University of Munich,Department of Neuroradiology

[6] University Hospital of Munich,undefined

[7] LMU Munich,undefined

来源：

European Radiology | 2023年 / 33卷

关键词：

Magnetic resonance imaging; Deep learning algorithm; Compressed SENSE; Shoulder injury;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：4875 / 4884

页数：9

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