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Magnetic resonance (MR) quantitative T 1ρ imaging has been increasingly used to detect the early stages of osteoarthritis. The small volume and curved surface of articular cartilage necessitate imaging with high in-plane resolution and thin slices for accurate T 1ρ measurement. Compared with 2D T 1ρ mapping, 3D T 1ρ mapping is free from artifacts caused by slice cross-talk and has a thinner slice thickness and full volume coverage. However, this technique needs to acquire multiple T 1ρ -weighted images with different spin-lock times, which results in a very long scan duration. It is highly expected that the scan time can be reduced in 3D T 1ρ mapping without compromising the T 1ρ quantification accuracy and precision.

Accelerating the 3D T1ρ mapping of cartilage using a signal-compensated robust tensor principal component analysis model