T1rho Fractional-order Relaxation of Human Articular Cartilage

TL;DR

This paper introduces a novel time-fractional order model for T1rho relaxation in human cartilage, improving data fitting accuracy over traditional mono-exponential models by capturing complex relaxation behaviors.

Contribution

The paper develops a time-fractional order (T-FACT) model for T1rho imaging, offering a more accurate description of relaxation in heterogeneous cartilage tissue.

Findings

T-FACT model fits experimental data better than mono-exponential models.

Reduced root mean squared error in data fitting.

Demonstrates potential for improved cartilage degeneration detection.

Abstract

T1rho imaging is a promising non-invasive diagnostic tool for early detection of articular cartilage degeneration. A mono-exponential model is normally used to describe the T1rho relaxation process. However, mono-exponentials may not adequately to describe NMR relaxation in complex, heterogeneous, and anisotropic materials, such as articular cartilage. Fractional-order models have been used successfully to describe complex relaxation phenomena in the laboratory frame in cartilage matrix components. In this paper, we develop a time-fractional order (T-FACT) model for T1rho fitting in human articular cartilage. Representative results demonstrate that the proposed method is able to fit the experimental data with smaller root mean squared error than the one from conventional mono-exponential relaxation model in human articular cartilage.