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Titel:

Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury.

Dokumenttyp:
Journal Article
Autor(en):
Feuerriegel, Georg C; Weiss, Kilian; Tu Van, Anh; Leonhardt, Yannik; Neumann, Jan; Gassert, Florian T; Haas, Yannick; Schwarz, Markus; Makowski, Marcus R; Woertler, Klaus; Karampinos, Dimitrios C; Gersing, Alexandra S
Abstract:
PURPOSE: To evaluate the diagnostic performance of CT-like MR images reconstructed with an algorithm combining compressed sense (CS) with deep learning (DL) in patients with suspected osseous shoulder injury compared to conventional CS-reconstructed images. METHODS: Thirty-two patients (12 women, mean age 46 ± 14.9 years) with suspected traumatic shoulder injury were prospectively enrolled into the study. All patients received MR imaging of the shoulder, including a CT-like 3D T1-weighted gradie...     »
Zeitschriftentitel:
Eur J Radiol
Jahr:
2024
Band / Volume:
170
Volltext / DOI:
doi:10.1016/j.ejrad.2023.111246
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38056345
Print-ISSN:
0720-048X
TUM Einrichtung:
596; Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski); Klinik und Poliklinik für Unfallchirurgie (Prof. Biberthaler)
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