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Abstract #2759

Self-navigated simultaneous multi-slab 3D DWI

Yi Xiao1, Ziyu Li2, Wen Zhong1, Jieying Zhang1, Yuancheng Jiang1, Xin Shao1, Yuan Lian1, Fan Liu1, Wenchuan Wu2, Karla L. Miller2, and Hua Guo1
1Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China, 2Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

Synopsis

Keywords: Image Reconstruction, Diffusion Reconstruction, simultaneous multislab imaging, self-navigation, phase variation, structured low-rank reconstruction

Motivation: Simultaneous multi-slab imaging (SMSlab) facilitates high-resolution diffusion-weighted imaging (DWI) with enhanced signal-to-noise ratio (SNR) efficiency, but requires navigators that compromising the scan efficiency.

Goal(s): To achieve navigator-free simultaneous multi-slab DWI.

Approach: For slabs that are excited simultaneously, a multiband-specific GRAPPA is employed to separate the slabs. The trajectory was optimized by an extended CAIPI sampling to ensure intersections with the kz=0 plane for each shot, and structured low-rank (SLR) reconstruction is performed to reconstruct a 2D phase map for each shot.

Results: The self-navigated reconstruction demonstrated comparable image quality to that with navigator.

Impact: Our method eliminated the navigator with optimized sampling and multiband specific GRAPPA reconstruction, which showed the potential to achieve optimal signal-to-noise ratio efficiency with approximately 30% shorter scanning time. This approach enables broader applications of high-resolution SMSlab DWI in neuroscience.

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Keywords