Partial Diffusion-weighted MR Fingerprinting for the simultaneous quantification of relaxation time and diffusion coefficient

Motivation: Subspace reconstruction has the potential to generate high-resolution images from highly undersampled data at each time point. Goal(s): To develop an MRF-based approach to simultaneously measure relaxation time and diffusion coefficient. Approach: This sequence was composed of two parts: conventional MRF and DW-SSFP. The central k-space was fully sampled, and the peripheral k-space was under sampled with 24 interleaves, using a dual density spiral trajectory. The subspace reconstruction was applied using the temporal basis obtained from central k-space data. Results: T1, T2, PD, and ADC can be accurately quantified for both phantom and in-vivo scans. Impact: This work indicate that full-resolution DWI can be reconstructed at each time point for a multi-shot multi-dynamic sequence using the subspace reconstruction. Our proposed sequence can be used to estimate relaxation time, proton density and diffusion coefficient simultaneously.