Literature DB >> 30443929

Motion-robust diffusion compartment imaging using simultaneous multi-slice acquisition.

Bahram Marami1,2,3, Benoit Scherrer1,2, Shadab Khan1,2, Onur Afacan1,2, Sanjay P Prabhu1,2, Mustafa Sahin2,4, Simon K Warfield1,2, Ali Gholipour1,2.   

Abstract

PURPOSE: To achieve motion-robust diffusion compartment imaging (DCI) in near continuously moving subjects based on simultaneous multi-slice, diffusion-weighted brain MRI.
METHODS: Simultaneous multi-slice (SMS) acquisition enables fast and dense sampling of k- and q-space. We propose to achieve motion-robust DCI via slice-level motion correction by exploiting the rigid coupling between simultaneously acquired slices. This coupling provides 3D coverage of the anatomy that substantially constraints the slice-to-volume alignment problem. This is incorporated into an explicit model of motion dynamics that handles continuous and large subject motion in robust DCI reconstruction.
RESULTS: We applied the proposed technique, called Motion Tracking based on Simultanous Multislice Registration (MT-SMR) to multi b-value SMS diffusion-weighted brain MRI of healthy volunteers and motion-corrupted scans of 20 pediatric subjects. Quantitative and qualitative evaluation based on fractional anisotropy in unidirectional fiber regions, and DCI in crossing-fiber regions show robust reconstruction in the presence of motion.
CONCLUSION: The proposed approach has the potential to extend routine use of SMS DCI in very challenging populations, such as young children, newborns, and non-cooperative patients.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Diffusion-compartment imaging; diffusion-weighted MRI; image-based navigation; intra-volume motion; motion tracking; motion-robust; simultaneous multi-slice; slice registration

Mesh:

Year:  2018        PMID: 30443929      PMCID: PMC6414287          DOI: 10.1002/mrm.27613

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  53 in total

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