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Abstract #4354

Interleaved Block-Segmented Echo-Planar Imaging (iblocks-EPI) based Diffusion-Tensor Imaging with Retrospective Motion Correction

Liyuan Liang1, Mei-Lan Chu2, Nan-Kuei Chen3,4, Shihui Chen1, and Hing-Chiu Chang1
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China, 2Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 3Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 4Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States

Recently, a self-navigated interleaved block-segmented EPI (iblocks-EPI) has been proposed to acquire DTI data with high spatial resolution and less geometric diction. In addition, the oversampling of central k-space of iblock-EPI can benefit the SNR performance. However, same as the other multi-shot EPI techniques, iblocks-EPI is highly susceptible to minuscule and macroscopic motions during data acquisition. In this study, we developed a self-calibrated and collaborative iblocks-DTI reconstruction framework that can correct image artifacts and diffusion-encoding contrast change caused by minuscule and macroscopic motions.

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