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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 Yuan1,4, 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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