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 Chen^3,4, 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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