Keywords: Cartilage, MSK
Motivation: To accelerate knee imaging for T1ρ mapping in clinical practice
Goal(s): To evaluate deep learning reconstruction from undersampled knee imaging
Approach: Three different sampling strategies were proposed to further decrease scan time and reconstruct images with deep learning
Results: Deep learning reconstruction results are in good agreement with reference images.
Impact: This work will allow use of novel contrasts including T1ρ to be performed within clinical workflow and improve patient diagnosis
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