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Updated: May 21, 2026

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
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Improving diffusion MRI using simultaneous multi-slice echo planar imaging.

K Setsompop1, J Cohen-Adad, B A Gagoski

  • 1Athinoula A. Martinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA. kawin@nmr.mgh.harvard.edu

Neuroimage
|June 27, 2012
PubMed
Summary
This summary is machine-generated.

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Simultaneous multi-slice diffusion MRI using blipped-CAIPI accelerates data acquisition by 3-fold. This novel method reduces scan times for high angular resolution diffusion imaging (HARDI) with minimal signal-to-noise ratio loss.

Area of Science:

  • Magnetic Resonance Imaging
  • Neuroimaging
  • Diffusion MRI

Background:

  • Simultaneous multi-slice (SMS) acquisitions in diffusion MRI can increase data acquisition speed.
  • Parallel imaging methods for SMS struggle with closely spaced slices, causing signal-to-noise ratio (SNR) loss.
  • CAIPIRINHA reduces SNR loss in SMS but is incompatible with single-shot EPI used in diffusion MRI.

Purpose of the Study:

  • To adapt CAIPIRINHA for single-shot EPI diffusion MRI using a blipped-CAIPI sequence.
  • To evaluate the performance of blipped-CAIPI using SNR and bootstrapping metrics.
  • To introduce a novel reconstruction method to mitigate ghosting artifacts.

Main Methods:

  • Implementation of the blipped-CAIPI gradient encoding method for SMS diffusion MRI.

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  • Assessment of image quality using pseudo-multiple replica SNR and bootstrapping.
  • Development and application of a new image reconstruction technique for artifact reduction.

    • Main Results:

    • Blipped-CAIPI enables CAIPIRINHA application in single-shot EPI diffusion MRI.
    • Data acquisition times for Q-ball and diffusion spectrum imaging (DSI) were reduced 3-fold.
    • Minor SNR reduction and comparable diffusion results were observed compared to conventional methods.

    Conclusions:

    • The blipped-CAIPI method effectively accelerates diffusion MRI acquisition.
    • The novel reconstruction method successfully reduces ghosting artifacts.
    • This technique allows for faster HARDI data acquisition with preserved diffusion information.