LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Magnetic resonance T1-T2* and T1ρ-T2* relaxation correlation measurements in solid-like materials with non-exponential decays.

Photo from wikipedia

Magnetic resonance T1-T2* relaxation correlation is a newly emerging and powerful tool to study the structure and dynamics of materials. However, the T1-T2* of solid-like materials may consist of a… Click to show full abstract

Magnetic resonance T1-T2* relaxation correlation is a newly emerging and powerful tool to study the structure and dynamics of materials. However, the T1-T2* of solid-like materials may consist of a linear combination of exponential decays and non-exponential decays, and the traditional methods for processing T1-T2 data would be not applicable. In this paper, a method of processing T1-T2* data with non-exponential decays was proposed. The critical idea is to decompose the data into two sub-datasets, exponential decays and non-exponential decays, employing a non-linear fitting method, and then to invert the sub-datasets and to combine the inversion results. We also introduce a related relaxation correlation measurement, T1ρ-T2*, for examination of solid-like materials. The same data processing strategy as for T1-T2* was implemented. The effectiveness of the proposed method for processing non-exponential data, Sinc Gaussian and Gaussian decay, was validated with simulation and experiment. The results showed that the proposed method recovers T1-T2* and T1ρ-T2* spectra with accurate relative signal intensities. The proposed method provides a platform for further development of MR methods applied to solid-like materials. These relaxation correlations are well suited to measuring composition of mixtures, with solid components in the mixture.

Keywords: relaxation; non exponential; magnetic resonance; exponential decays; like materials; solid like

Journal Title: Journal of magnetic resonance
Year Published: 2021

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.