Deep Learning Reconstruction of Accelerated MRI: False-Positive Cartilage Delamination Inserted in MRI Arthrography Under Traction.

Journal: Topics in magnetic resonance imaging : TMRI

PMID: 39016321

Abstract

OBJECTIVES: The radiological imaging industry is developing and starting to offer a range of novel artificial intelligence software solutions for clinical radiology. Deep learning reconstruction of magnetic resonance imaging data seems to allow for the acceleration and undersampling of imaging data. Resulting reduced acquisition times would lead to greater machine utility and to greater cost-efficiency of machine operations.

Authors

Wolfram A Bosbach

Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland.
Kim Carolin Merdes
Bernd Jung
Elham Montazeri
Suzanne Anderson
Milena Mitrakovic
Keivan Daneshvar

Keywords

Adult Arthrography Cartilage, Articular Deep Learning False Positive Reactions Hip Joint Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Traction

External Resources

View on PubMed Access via DOI PubMed (39016321)

Deep Learning Reconstruction of Accelerated MRI: False-Positive Cartilage Delamination Inserted in MRI Arthrography Under Traction.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals