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Abstract #3753

Motion-Immune Structural MRI Based on Repeated K-T-Subsampling and Artifact-Minimization (REKAM)

Mei-Lan Chu1, 2, Nan-Kuei Chen3

1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; 2Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States; 3Brain Imaging and Analysis Center, Duke University, Durham, NC, United States

A robust motion-immune MRI acquisition and reconstruction strategy is presented in this study. The experimental results indicate that the proposed REKAM method can effectively suppress motion-related artifacts even for highly challenging cases, such as continual head tremor during scans. As compared with the conventional SPGR that is highly susceptible to intra-scan motion, the REKAM method can produce artifact-free images of the same spatial resolution within the same scan time. Even though the REKAM method is demonstrated here with T2*-weighted imaging, the developed technique can be applied to structural MRI pulse sequences of other weightings and contrasts.