Corpus ID: 211296811

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE)

@article{Hong2020MultifoldAO,
  title={Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE)},
  author={Yoonmi Hong and Wei-Tang Chang and Geng Chen and Ye Wu and Weili Lin and Dinggang Shen and Pew-Thian Yap},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.10908}
}
Diffusion MRI (dMRI) is a unique imaging technique for in vivo characterization of tissue microstructure and white matter pathways. However, its relatively long acquisition time implies greater motion artifacts when imaging, for example, infants and Parkinson's disease patients. To accelerate dMRI acquisition, we propose in this paper (i) a diffusion encoding scheme, called Slice-Interleaved Diffusion Encoding (SIDE), that interleaves each diffusion-weighted (DW) image volume with slices that… Expand
1 Citations
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This paper introduces a technique for super-resolution reconstruction of diffusion MRI, harnessing fiber-continuity (FC) as a constraint in a global whole-brain optimization framework, and devise a global optimization framework that allows solutions pertaining to all voxels to be solved simultaneously. Expand

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