Deep learning reconstruction enables 7-minute knee MRI

A deep learning reconstruction method reduced knee MRI acquisition to 7 minutes while preserving diagnostic accuracy for meniscal tears, ACL tears, and cartilage defects, as validated against arthroscopy in 117 patients.

• The approach used a commercially available deep learning pipeline (GE HealthCare AIR Recon DL) with two- to threefold parallel imaging acceleration.
• Image quality was good with minimal noise, sharp edges, and no reconstruction artifacts; interreader agreement for quality metrics was high.
• Diagnostic performance was high for arthroscopy-verified meniscal tears, ACL tears, and cartilage defects.

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