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3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI.

Publication ,  Journal Article
Bruce, IP; Chang, H-C; Petty, C; Chen, N-K; Song, AW
Published in: Neuroimage
October 1, 2017

Recent advances in achieving ultrahigh spatial resolution (e.g. sub-millimeter) diffusion MRI (dMRI) data have proven highly beneficial in characterizing tissue microstructures in organs such as the brain. However, the routine acquisition of in-vivo dMRI data at such high spatial resolutions has been largely prohibited by factors that include prolonged acquisition times, motion induced artifacts, and low SNR. To overcome these limitations, we present here a framework for acquiring and reconstructing 3D multi-slab, multi-band and interleaved multi-shot EPI data, termed 3D-MB-MUSE. Through multi-band excitations, the simultaneous acquisition of multiple 3D slabs enables whole brain dMRI volumes to be acquired in-vivo on a 3 T clinical MRI scanner at high spatial resolution within a reasonably short amount of time. Representing a true 3D model, 3D-MB-MUSE reconstructs an entire 3D multi-band, multi-shot dMRI slab at once while simultaneously accounting for coil sensitivity variations across the slab as well as motion induced artifacts commonly associated with both 3D and multi-shot diffusion imaging. Such a reconstruction fully preserves the SNR advantages of both 3D and multi-shot acquisitions in high resolution dMRI images by removing both motion and aliasing artifacts across multiple dimensions. By enabling ultrahigh resolution dMRI for routine use, the 3D-MB-MUSE framework presented here may prove highly valuable in both clinical and research applications.

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Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

October 1, 2017

Volume

159

Start / End Page

46 / 56

Location

United States

Related Subject Headings

  • Neurology & Neurosurgery
  • Neuroimaging
  • Imaging, Three-Dimensional
  • Image Interpretation, Computer-Assisted
  • Humans
  • Diffusion Magnetic Resonance Imaging
  • Brain
  • Algorithms
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Bruce, I. P., Chang, H.-C., Petty, C., Chen, N.-K., & Song, A. W. (2017). 3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI. Neuroimage, 159, 46–56. https://doi.org/10.1016/j.neuroimage.2017.07.035
Bruce, Iain P., Hing-Chiu Chang, Christopher Petty, Nan-Kuei Chen, and Allen W. Song. “3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI.Neuroimage 159 (October 1, 2017): 46–56. https://doi.org/10.1016/j.neuroimage.2017.07.035.
Bruce IP, Chang H-C, Petty C, Chen N-K, Song AW. 3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI. Neuroimage. 2017 Oct 1;159:46–56.
Bruce, Iain P., et al. “3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI.Neuroimage, vol. 159, Oct. 2017, pp. 46–56. Pubmed, doi:10.1016/j.neuroimage.2017.07.035.
Bruce IP, Chang H-C, Petty C, Chen N-K, Song AW. 3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI. Neuroimage. 2017 Oct 1;159:46–56.
Journal cover image

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

October 1, 2017

Volume

159

Start / End Page

46 / 56

Location

United States

Related Subject Headings

  • Neurology & Neurosurgery
  • Neuroimaging
  • Imaging, Three-Dimensional
  • Image Interpretation, Computer-Assisted
  • Humans
  • Diffusion Magnetic Resonance Imaging
  • Brain
  • Algorithms
  • 42 Health sciences
  • 32 Biomedical and clinical sciences