Abstract #5338

A POCS-Enhanced k-Space Reconstruction for 3D Multi-Slab Diffusion Imaging

Erpeng Dai¹, Xiaodong Ma¹, Zhe Zhang², Yu-hsuan Wu¹, Wenchuan Wu³, Karla L. Miller³, Chun Yuan^1,4, and Hua Guo¹

¹Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, ²Tiantan Image Research Center, China National Clinical Research Center for Neurological Diseases, Beijing, China, ³Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, ⁴Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, United States

3D multi-slab acquisition is a new technique for high-resolution isotropic diffusion imaging with sufficient SNR maintained. To fill the whole 3D k-space, multi-shot acquisitions are usually needed. However, this can cause the inter-shot phase variations. In this study, we propose a new k-space-based phase correction method for multi-slab diffusion imaging. This proposed method is based on a previous method termed GRAPPA with compact kernel (GRAPPA-CK). Furthermore, POCSMUSE algorithm is subsequently used to enhance the reconstruction of GRAPPA-CK. Finally, the newly proposed method is demonstrated to be compatible with in-plane acceleration in 3D multi-slab imaging.

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