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Abstract #4212

3D-isotropic T1WI in liver MRI with compressed sensing and artificial intelligence reconstruction

Shuang Zheng1, Lei Zhang1, Huimao Zhang1, Zhuo Wang1, Yuejiao Sun1, Yi Zhu2, and Ke Jiang2
1The First Hospital of Jilin University, Changchun, China, 2Philips Healthcare, Beijing, China


3D-isotropic volumetric data acquisition provides higher spatial resolution and signal-to-noise ratios, and facilitates multi-planar reformations. But the application was limited due to long scan time. Recently, compressed sensing (CS) has been proposed as a new method for reducing the number of k-space samples. However, one of the drawbacks of CS is a relatively lower SNR than for PI (parallel imaging). Artificial intelligence reconstruction has been introduced for improving imaging quality. The aim of this study is to investigate the feasibility of 3D-isotropic T1 weighted imaging (T1WI) with compressed sense AI reconstruction in the liver magnetic resonance imaging.

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