Dynamic Transitions for Fast Joint Acquisition and Reconstruction of CEST- R e x $$ {R}_{ex} $$ and T 1 $$ {T}_1 $$

Magn Reson Med. 2026 Apr;95(4):2153-2168. doi: 10.1002/mrm.70198. Epub 2025 Nov 25.

Abstract

Purpose: This work proposes a method for the simultaneous estimation of the exchange-dependent relaxation rate R e x $$ {R}_{ex} $$ and the longitudinal relaxation time T 1 $$ {T}_1 $$ from a single acquisition.

Methods: A novel acquisition scheme was developed that combines CEST saturation with an inversion pulse and a Look-Locker readout to capture the magnetization evolution starting from the inverse transient Z-spectrum. The corresponding signal model, derived from the Bloch-McConnell equations, describes both the transient Z-spectrum and the Look-Locker dynamics. A model-based reconstruction approach is employed to jointly estimate R e x $$ {R}_{ex} $$ and T 1 $$ {T}_1 $$ . The proposed method was validated using a numerical phantom and benchmarked against conventional CEST and Look-Locker T 1 $$ {T}_1 $$ mapping in a phantom and in vivo on a clinical 3T scanner.

Results: The joint estimation approach demonstrated strong agreement with ground truth and conventional methods across a wide range of T 1 $$ {T}_1 $$ and CEST parameters. The acquisition time was reduced by 20%-30% compared to standard CEST protocols, while providing a higher signal-to-noise ratio (SNR) in parameter maps.

Conclusion: The proposed technique enables robust and efficient simultaneous quantification of CEST R e x $$ {R}_{ex} $$ and T 1 $$ {T}_1 $$ in a single acquisition. It improves parameter map quality and reduces scan time, making it suitable for both phantom and in vivo imaging across a wide range of physiological conditions.

Keywords: APTw; AREX; CEST; Look‐Locker; QUASS; T1; TGV; model‐based reconstruction; rNOE; ssMT.

MeSH terms

  • Algorithms
  • Brain* / diagnostic imaging
  • Humans
  • Image Processing, Computer-Assisted* / methods
  • Magnetic Resonance Imaging* / methods
  • Phantoms, Imaging
  • Reproducibility of Results