Abstract #3846

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

Synopsis

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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