Simultaneously multi-parameter mapping via SSFP multiple overlapping‑echo acquisition and deep learning reconstruction

Motivation: Multi-parametric quantitative magnetic resonance imaging provides a comprehensive and detailed characterization of tissue properties, enhancing the diagnostic accuracy and potential for scientific research. However, the long acquisition time limits its widespread application. Goal(s): To provide a method that can quickly realize multi-parametric quantitative magnetic resonance imaging. Approach: We designed a fast multi-parametric quantitative magnetic resonance imaging method which combines balanced steady-state free precession sequence with multiple overlapping echo detachment imaging technique. Results: Experimental results show that the proposed method can simultaneously obtain accurate T1, T2, T2*, proton density (PD), B0, and B1 parametric maps. Impact: The proposed method can simultaneously obtain accurate T1, T2, T2*, PD, B0, and B1 maps without distortion or artifacts, and no registration is needed. It has great potential for clinical application.