Abstract #3941

Enhanced parallel imaging with pseudo-linear magnetic fields using multi-channel matrix gradient coil

Shuxian Qu^1,2,3, Yang Gao^1,2,3, Yiman Huang⁴, Haifang Shang³, Haifeng Wang⁵, and Xiaotong Zhang^1,2,3,4,6

¹Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, Hangzhou, China, ²MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University, Hangzhou, China, Hangzhou, China, ³ZJU-Xitou Brain-Machine Intelligence Research Center, Hangzhou, China, Hangzhou, China, ⁴College of Electrical Engineering, Zhejiang University, Hangzhou, China, Hangzhou, China, ⁵Paul C. Lauterbur Research Centre for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, China, Shenzhen, China, ⁶Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, Hangzhou, China

Synopsis

Keywords: Data Acquisition, Data Acquisition

Motivation: Nonlinear magnetic fields have been used as an effective alternative to linear counterparts to offer improved spatial encoding efficiency.

Goal(s): Nonlinear encoding methods often encounter center imaging blurring and require additional information for non-bijective encoding fields to differentiate mis-localized intensities.

Approach: We propose to use pseudo-linear spatial encoding magnetic fields to address these challenges and enhance encoding efficiency. Based on that, two encoding strategies were proposed.

Results: Center resolution discrepancy could be mitigated according to numerical simulations and preliminary experiments.

Impact: The mitigation of the center blurring presents a reference for future research employing nonlinear gradient encoding.

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