Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects
Simultaneous multi-slice (SMS) echo-planar imaging has had a huge impact on the acceleration and routine use of diffusion-weighted MRI (DWI) in neuroimaging studies in particular the human connectome project; but also holds the potential to facilitate DWI of moving subjects, as proposed by the new technique developed in this paper. We present a novel registration-based motion tracking technique that takes advantage of the multi-plane coverage of the anatomy by simultaneously acquired slices to enable robust reconstruction of neural microstructure from SMS DWI of moving subjects. Our technique constitutes three main components: (1) motion tracking and estimation using SMS registration, (2) detection and rejection of intra-slice motion, and (3) robust reconstruction. Quantitative results from 14 volunteer subject experiments and the analysis of motion-corrupted SMS DWI of 6 children indicate robust reconstruction in the presence of continuous motion and the potential to extend the use of SMS DWI in very challenging populations.
KeywordsSimultaneous multi-slice Diffusion-weighted MRI Motion
- 10.Fogtmann, M., Seshamani, S., Kroenke, C., Cheng, X., Chapman, T., Wilm, J., Rousseau, F., Studholme, C.: A unified approach to diffusion direction sensitive slice registration and 3-D DTI reconstruction from moving fetal brain anatomy. IEEE Trans. Med. Imaging 33(2), 272–289 (2014)CrossRefGoogle Scholar
- 11.Marami, B., Scherrer, B., Afacan, O., Erem, B., Warfield, S., Gholipour, A.: Motion-robust diffusion-weighted brain MRI reconstruction through slice-level registration-based motion tracking. IEEE Trans. Med. Imaging (2016, in press)Google Scholar
- 14.Powell, M.J.: The BOBYQA algorithm for bound constrained optimization without derivatives. Cambridge NA report NA2009/06, University of Cambridge (2009)Google Scholar