Synopsis

When imaging various solute protons in MRI, the CEST effect is adopted to increase the signal sensitivity of the weak solute proton distribution. Analysis of solute protons require multiple acquisitions with different saturation parameters, which increases the scan time and makes them difficult in clinical applications. This talk introduces fast imaging techniques for CEST imaging by adopting SSFP or MRF. Optimization of imaging sequences for MRF is performed with a deep learning method. In addition, deep neural network is applied for accurate quantification of various CEST parameters. MRF and deep neural network help the CEST imaging be applied clinically.