Cartilage is one of the most essential tissues for healthy joint function and is compromised in
degenerative and traumatic joint diseases. There have been tremendous advances during …

Early in the process of osteoarthritis (OA) the composition (water, proteoglycan [PG], and
collagen) and structure of articular cartilage is altered leading to changes in its mechanical …

The purpose of this study is to evaluate the ability of a machine learning algorithm to classify
in vivo magnetic resonance images (MRI) of human articular cartilage for development of …

Purpose To evaluate the sensitivity of quantitative MRI techniques (T1, T1, Gd, T2, continous
wave (CW) T1ρ dispersion, adiabatic T1ρ, adiabatic T2ρ, RAFF and inversion‐prepared …

Purpose To assess the use of diffusion-tensor (DT) imaging of articular cartilage to detect
and grade early cartilage damage in human specimens with early signs of cartilage …

In diseased conditions of cartilage such as osteoarthritis, there is typically an increase in
water content from the average normal of 60–85% to greater than 90%. As cartilage has very …

Abstract Changes in the composition of the extracellular matrix (ECM) are characteristic of
injury or disease in cartilage tissue. Various imaging modalities and biochemical techniques …

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

It is known that in the early stages of osteoarthritis, the concentration of glycan proteins
decreases in articular cartilage. This phenomenon is under active research to develop a …

We present a fractional-order extension of the Bloch equations to describe anomalous NMR
relaxation phenomena (T1 and T2). The model has solutions in the form of Mittag–Leffler …