Abstract #0950

VarNet-based Simultaneous Multislice Reconstruction for Low Noise Amplification and Flexible Calibration

Lifeng Mei¹, Celia.M. Dong², Sixing Liu¹, Shoujin Huang¹, and Mengye Lyu¹

¹College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, China, ²University Research Facility in Behavioral and Systems Neuroscience, The Hong Kong Polytechnic University, Hong Kong, China

Synopsis

Keywords: Image Reconstruction, Parallel ImagingIn this study, we combine the readout-concatenation framework with VarNet based deep learning method to achieve SMS reconstruction of low noise amplification. It can flexibly handle arbitrary slice aliasing patterns with in-plane acceleration. Moreover, the modified network architecture allows coil calibration using a prescan of different contrasts, which is preferred in many scenarios.

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