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Abstract #3395

Corrupted Data Rejection Strategy in k-space Based Multi-shot Diffusion Reconstruction

Zhe Zhang1, Wanlin Zhu1, Jing Jing1,2, Hua Guo3, Jiazheng Wang4, Chun Yuan1,3,5, and Yongjun Wang1,2

1China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 3Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 4Philips Healthcare, Beijing, China, 5Department of Radiology, University of Washington, Seattle, WA, United States

In diffusion imaging, bulk and physiological motion together with strong diffusion encoding gradient introduces extra image phase or data corruption in the diffusion-weighted images. Corrupted data identification/rejection procedure has not been integrated in the recently proposed k-space based multi-shot diffusion reconstruction pipelines. In this work, two corrupted data rejection strategies were proposed, compared and evaluated. Results show that using corrupted data identification and rejection after the CK-GRAPPA reconstruction is potentially a robust choice for multi-shot diffusion imaging reconstruction.

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