| Literature DB >> 27312932 |
Weiping Jiang1,2, Iris Yuwen Zhou1, Lingyi Wen1, Xin Zhou3, Phillip Zhe Sun4,5.
Abstract
Chemical exchange saturation transfer (CEST) MRI is sensitive to dilute labile protons and microenvironmental properties, augmenting routine relaxation-based MRI. Recent developments of quantitative CEST (qCEST) analysis such as omega plots and RF-power based ratiometric calculation have extended our ability to elucidate the underlying CEST system beyond the simplistic apparent CEST measurement. CEST MRI strongly varies with experimental factors, including the RF irradiation level and duration as well as repetition time and flip angle. In addition, the CEST MRI effect is typically small, and experimental optimization strategies have to be carefully evaluated in order to enhance the CEST imaging sensitivity. Although routine CEST MRI has been optimized largely based on maximizing the magnitude of the CEST effect, the CEST signal-to-noise (SNR) efficiency provides a more suitable optimization index, particularly when the scan time is constrained. Herein, we derive an analytical solution of the CEST effect that takes into account key experimental parameters including repetition time, imaging flip angle and RF irradiation level, and solve its SNR efficiency. The solution expedites CEST imaging sensitivity calculation, substantially faster than the Bloch-McConnell equation-based numerical simulation approach. In addition, the analytical solution-based SNR formula enables the exhaustive optimization of CEST MRI, which simultaneously predicts multiple optimal parameters such as repetition time, flip angle and RF saturation level based on the chemical shift and exchange rate. The sensitivity efficiency-based optimization approach could simplify and guide imaging of CEST agents, including glycogen, glucose, creatine, gamma-aminobutyric acid and glutamate.Entities:
Keywords: chemical exchange saturation transfer (CEST); contrast-to-noise ratio (CNR); quantitative CEST (qCEST); signal-to-noise ratio (SNR); specific absorption rate (SAR)
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Year: 2016 PMID: 27312932 PMCID: PMC5069132 DOI: 10.1002/cmmi.1699
Source DB: PubMed Journal: Contrast Media Mol Imaging ISSN: 1555-4309 Impact factor: 3.161