Characterization of T2-dependent microstructural spectra using combined relaxation-diffusion MRI

We proposed a method for joint modeling and analysis for diffusion MRI data with multiple TEs and examined the performance of using in vivo data acquired from a clinical scanner. The contribution of this work includes the characterization of b-value-dependent T2 relaxation rates, comparing prediction results using subsampled TEs, and characterization of microstructural spectral and long and short TEs using extrapolated signals. The results show that the proposed method can provide novel features to characterize T2-dependent microstructure using rdMRI acquired from clinical scanners.