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Abstract #0872

A Time-Saving View-Sharing Interleaved Block-Segmented Diffusion-Tensor Imaging (VS iblocks-DTI)

Liyuan Liang1,2, Mei-Lan Chu3, Nan-Kuei Chen4,5, and Hing-Chiu Chang1,2
1Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, 2Multi-Scale Medical Robotics Center, Shatin, Hong Kong, 3Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 4Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 5Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States

Synopsis

Keywords: Image Reconstruction, Diffusion Tensor Imaging

Recently, a novel self-navigated multi-shot EPI data acquisition scheme called iblocks-EPI was proposed to achieve high-resolution DWI images with further reduction of distortion compared to the conventional interleaved EPI. However, the total acquisition time of iblocks-EPI is several times longer than the conventional interleaved EPI because it requires multiple patch patterns for covering a complete k space. Consequently, it is time-consuming and impractical for routine acquisition of DTI data. In this work we propose a view-sharing iblocks-DTI scheme which can substantially reduce the scan time for iblocks-DTI acquisition while providing accurate DTI tensor calculation.

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Keywords