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Updated: Jan 15, 2026

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
Published on: November 27, 2017
Fast 3D UTE in vivo T1 and T 2 * $$ {\mathrm{T}}_2^{\ast } $$ mapping of fast relaxing knee tissues at 3 T
Maik Rothe1,2, Selina Riedel1, Anne Slawig1,2
1University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany.
Purpose:
UTE MR imaging captures quantitative signals in fast-relaxing tissues, enabling anatomical visualization and quantitative assessment of T1 and relaxation times. However, the clinical application of quantitative UTE MRI is limited by long acquisition times. Therefore, this study introduces a novel UTE-based method for T1 and mapping, achieving submillimeter resolution in less than 10 min.
Theory And Methods:
The method employs a dual-echo acquisition for fast mapping, augmented by an additional acquisition with different T1 weighting. This second scan enables the computation of signal ratios between scans with different T1-weighting. These measured signal ratios are then compared to a lookup table containing distinct ratios, corresponding to discrete T1 values. The approach was validated in phantom solutions mimicking various T1 and times and applied in vivo to quantify relaxation times across different knee tissue compartments in healthy individuals.
Results:
The method demonstrated its reliability for T1 and quantification in rapidly relaxing tissues (1-11 ms). However, it exhibited a tendency to underestimate in skeletal muscle. This limitation arises from the chosen TEs being inadequate to capture slow signal decays. In accordance with the findings of preceding studies, this in vivo study identified three distinct T1 categories of tissue characterized by short (adipose tissue), moderate (ligaments, tendons, and menisci), and long (skeletal muscle) T1 values.
Conclusion:
The presented technique for combined T1 and mapping enables relaxometry in rapidly relaxing tissues, indicating potential for advanced tissue characterization in clinical settings.
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