Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction.

Journal: Skeletal radiology

Published Date: Dec 1, 2024

Abstract

OBJECTIVES: To assess a deep learning-based reconstruction algorithm (DLRecon) in zero echo-time (ZTE) MRI of the shoulder at 1.5 Tesla for improved delineation of osseous findings.

Authors

Falko Ensle

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. falko.ensle@usz.ch.
Malwina Kaniewska

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), Raemistrasse 100, CH-8091, Zurich, Switzerland. malwina.kaniewska@usz.ch.
Maelene Lohezic

Applications & Workflow, GE Healthcare, Manchester, UK.
Roman Guggenberger

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.

Keywords

Adult Aged Aged, 80 and over Algorithms Deep Learning Female Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging Male Middle Aged Retrospective Studies Shoulder Joint Signal-To-Noise Ratio

External Resources

View on PubMed Access via DOI PubMed (38658419)

Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals