Quasi-steady-state chemical exchange saturation transfer (QUASS CEST) MRI analysis enables T-1 normalized CEST quantification - Insight into T-1 contribution to CEST measurement

• Authors: Phillip Zhe Sun, Emory University
• Journal Title: JOURNAL OF MAGNETIC RESONANCE
• Volume: Volume 329
• Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE | 2021-06-15, Pages 107022-107022
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1016/j.jmr.2021.107022
• Subjects: Health Sciences, Radiology
• Keywords: Science & Technology; Life Sciences & Biomedicine; Physical Sciences; Technology; Biochemical Research Methods; Physics, Atomic, Molecular & Chemical; Spectroscopy; Biochemistry & Molecular Biology; Physics; Chemical exchange saturation transfer (CEST); Quasi-steady-state (QUASS); Quantitative CEST (qCEST); PH-WEIGHTED MRI; IN-VIVO; MAGNETIZATION-TRANSFER; ACUTE STROKE; AMIDE; RELAXATION; CONTRAST; SENSITIVITY; AGENTS; WATER

Abstract

Chemical exchange saturation transfer (CEST) MRI depends not only on the labile proton concentration and exchange rate but also on relaxation rates, particularly T1 relaxation time. However, T1 normalization has shown to be not straightforward under non-steady-state conditions and in the presence of radiofrequency spillover effect. Our study aimed to test if the combined use of the new quasi-steady-state (QUASS) analysis and inverse CEST calculation facilitates T1 normalization for improved CEST quantification. The CEST signal was simulated with Bloch-McConnell equations, and the apparent CEST, QUASS CEST, and the inverse CEST effects were calculated. T1-normalized CEST effects were tested for their specificity to the underlying CEST system (i.e., labile proton ratio and exchange rate). CEST experiments were performed from a 9-vial phantom of independently varied concentrations of creatine (20, 40, and 60 mM) and manganese chloride (20, 30, and 40 µM) under a range of RF saturation amplitudes (0.5–4 µT) and durations (1–4 s). The simulation showed that while T1 normalization of the apparent CEST effect was subject to noticeable T1 contamination, the T1-normalized inverse QUASS CEST effect had little T1 dependence. The experimental data were analyzed using a multiple linear regression model, showing that T1-normalized inverse QUASS analysis significantly depended on creatine concentration and saturation power (P < 0.05), not on manganese chloride concentration and saturation duration, advantageous over other CEST indices. The QUASS CEST algorithm reconstructs the steady-state CEST effect, enabling T1-normalized inverse CEST effect calculation for improved quantification of the underlying CEST system.