ArticleMagnetic resonance in medicine2016
Anomalous T2 relaxation in normal and degraded cartilage.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- HSGDNet: Hybrid Synthetic-Data-Guided Deep Learning With NLS Refinement for Fast Multi-Component T1ρ Knee Mapping.NMR in biomedicine · 2025Article
- Performance of MR learned pulse sequences for 3D bi-exponential, stretched-exponential, and mono-exponential TMagnetic resonance in medicine · 2025Article
- HDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint.Bioengineering (Basel, Switzerland) · 2024Article
- Quantitative T2 mapping monitoring the maturation of engineered elastic cartilage in a rabbit model.BMC medical imaging · 2023Article
- Input layer regularization for magnetic resonance relaxometry biexponential parameter estimation.Magnetic resonance in chemistry : MRC · 2022Article
- Optimization of spin-lock times for TScientific reports · 2022Article
- Quantitative T2 and T1ρ mapping are sensitive to ischemic injury to the epiphyseal cartilage in an in vivo piglet model of Legg-Calvé-Perthes disease.Osteoarthritis and cartilage · 2022Article
- Optimization of spin-lock times in TMagnetic resonance in medicine · 2022Article
- Parsimonious modeling of skeletal muscle perfusion: Connecting the stretched exponential and fractional Fickian diffusion.Magnetic resonance in medicine · 2021Article
- Fast multicomponent 3D-TNMR in biomedicine · 2020Article
- Direct and specific assessment of axonal injury and spinal cord microenvironments using diffusion correlation imaging.NeuroImage · 2020Article
- Tissue-Specific TJournal of magnetic resonance imaging : JMRI · 2020Article
- Volumetric multicomponent TMagnetic resonance in medicine · 2020Article
- Accelerated mono- and biexponential 3D-T1ρ relaxation mapping of knee cartilage using golden angle radial acquisitions and compressed sensing.Magnetic resonance in medicine · 2020Article
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Authors and funding
6 authors.
Funding
Abstract
purposeTo compare the ordinary monoexponential model with three anomalous relaxation models-the stretched Mittag-Leffler, stretched exponential, and biexponential functions-using both simulated and experimental cartilage relaxation data.
methodsMonte Carlo simulations were used to examine both the ability of identifying a given model under high signal-to-noise ratio (SNR) conditions and the accuracy and precision of parameter estimates under more modest SNR as would be encountered clinically. Experimental transverse relaxation data were analyzed from normal and enzymatically degraded cartilage samples under high SNR and rapid echo sampling to compare each model.
resultsBoth simulation and experimental results showed improvement in signal representation with the anomalous relaxation models. The stretched exponential model consistently showed the lowest mean squared error in experimental data and closely represents the signal decay over multiple decades of the decay time (e.g., 1-10 ms, 10-100 ms, and >100 ms). The stretched exponential parameter αse showed an inverse correlation with biochemically derived cartilage proteoglycan content.
conclusionExperimental results obtained at high field suggest potential application of αse as a measure of matrix integrity. Simulation reflecting more clinical imaging conditions, indicate the ability to robustly estimate αse and distinguish between normal and degraded tissue, highlighting its potential as a biomarker for human studies. Magn Reson Med 76:953-962, 2016. © 2015 Wiley Periodicals, Inc.
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