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Updated: Mar 14, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Acceleration of Phase-Modulated Ultrashort Echo Time Sequence for Fast T2 and Adiabatic T1ρ Mapping of the Knee
Jiyo S Athertya1, Dina Moazamian1, Niloofar Shojaeiadib1
1Department of Radiology, University of California San Diego, San Diego, California, USA.
Purpose:
To develop and validate an accelerated phase-modulated ultrashort echo time (PM-UTE) sequence for volumetric T2 and adiabatic T1ρ (AdiabT1ρ) mapping of both short- and long-T2 tissues in the knee joint.
Methods:
The proposed method estimates and removes the T1-dependent component from a single reference acquisition, eliminating repeated phase-cycled scans. PM-UTE-T2 and PM-UTE-AdiabT1ρ sequences were implemented on a 3T scanner. Four agarose phantoms, five ex vivo human knees, and five in vivo healthy knees were imaged. Single-exponential fitting was applied to compute T2 and T1ρ values in cartilage, meniscus, muscle, patellar tendon, anterior cruciate ligament (ACL), and posterior cruciate ligament (PCL). Agreement between accelerated and conventional PM-UTE methods was evaluated using Pearson correlation and voxel-wise difference maps.
Results:
In phantoms, accelerated and conventional mapping showed excellent agreement (T2: R = 0.99; T1ρ: R = 0.99). Ex vivo studies demonstrated strong correlations (T2: R = 0.97; T1ρ: R = 0.97) across all tissues with minimal voxel-wise differences. In vivo measurements correlated strongly (T2: R = 0.96; T1ρ: R = 0.96), with reliable visualization of short- and long-T2 structures. Across all tissues, T2 and T1ρ relaxation times from accelerated method closely matched conventional values, with differences smaller than their respective standard deviations. The acceleration reduced total scan time by ∼1.6-fold across phantom, ex vivo and in vivo experiments.
Conclusion:
The accelerated PM-UTE technique enables accurate, efficient whole-knee T2 and T1ρ mapping, providing comprehensive multi-tissue characterization within a clinically feasible timeframe. This technique shows promise for early osteoarthritis detection and longitudinal monitoring.

