MRI-based mathematical and computational modeling studies can contribute to a better
understanding of the mechanisms governing cartilage's mechanical performance and …

To investigate and compare the values of 3.0 T MRI T1, T2 and T2* mapping quantification
techniques in evaluating cartilage degeneration of the shoulder joint. This study included …

Background Machine learning models trained with multiparametric quantitative MRIs
(qMRIs) have the potential to provide valuable information about the structural composition …

The socioeconomic burden of chronic back pain related to intervertebral disc (IVD) disease
is high and current treatments are only symptomatic. Minimally invasive strategies that …

Background To investigate the feasibility of using quantitative ultrashort echo time
magnetization transfer (UTE-MT) technique in diagnosing early cartilage degeneration and …

For T2 mapping, the underlying mono-exponential signal decay is traditionally quantified by
non-linear Least-Squares Estimation (LSE) curve fitting, which is prone to outliers and …

Objective This study aims to characterize the deformations in articular cartilage under
compressive loading and link these to changes in the extracellular matrix constituents …

Quantitative magnetic resonance imaging (qMRI) is a promising approach to detect early
cartilage degeneration. However, there is no consensus on which cartilage component …

Water, collagen, and proteoglycans determine articular cartilage functionality. If altered,
susceptibility to premature degeneration is increased. This study investigated the effects of …

To assess human articular cartilage tissue functionality by serial multiparametric quantitative
MRI (qMRI) mapping as a function of histological degeneration. Forty-nine cartilage samples …