A new approach for in-vivo liver CEST imaging
Zhichao Wang1, Jilei Zhang2, Yu Zhao3, Ting Hua4, Guangyu Tang4, Jianqi Li5, and Yu Zhang1
1Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, Zhejiang, China, 2Philips Healthcare, Shanghai, China, 3Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 4Renji Hospital affiliated to Shanghai Jiao Tong University Medical College, Shanghai, China, 5Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China
Chemical exchange saturation transfer (CEST) imaging shows great potentials in the diagnosis of brain diseases. However, there are still many challenges in the hepatic disease due to the fat suppression and large B0 inhomogeneity. In this study, we achieved CEST imaging with simultaneous B0 correction in one sequence, and conducted a pixel-by-pixel prediction on the background reference Z-spectra representing the magnetization transfer and direct saturation effects. Our approach also effectively separated the amide proton transfer (APT) effects from the mixing effect of fat and nuclear Overhauser enhancement (NOE), by subtracting the background reference Z-spectra from the predicted Z-spectra.
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