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Simultaneous Multislice-Based 5-Minute Lumbar Spine MRI Protocol: Initial Experience in a Clinical Setting.

Maria G Longo1, Joana Fagundes2, Susie Huang1

  • 1Department of Radiology, Massachusetts General Hospital, Boston, MA.

Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|June 3, 2017
PubMed
Summary

A new 5-minute lumbar spine MRI protocol using simultaneous multislice (SMS) and generalized autocalibrating partially parallel acquisition (GRAPPA) significantly reduces scan time. This fast MRI protocol maintains diagnostic quality and accuracy comparable to standard imaging.

Keywords:
Lumbar spine MRIparallel imagingsimultaneous multislice

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Area of Science:

  • Radiology
  • Medical Imaging Technology
  • Neurology

Background:

  • Parallel imaging (PI) techniques have been used to shorten spine MRI acquisition times.
  • Advanced MRI sequences now enable even faster imaging protocols.

Purpose of the Study:

  • To develop a rapid lumbar spine MRI protocol using PI with GRAPPA and a simultaneous multislice (SMS)-based sequence.
  • To evaluate the diagnostic performance of this fast protocol against a standard lumbar spine MRI protocol.

Main Methods:

  • Ten patients underwent lumbar spine MRI on a 3-Tesla scanner using both a standard and an optimized fast protocol.
  • The fast protocol incorporated GRAPPA acceleration and an SMS-based axial T2-weighted sequence.
  • Two neuroradiologists assessed image quality and diagnostic accuracy for clinically relevant findings.

Main Results:

  • The fast protocol reduced acquisition time from 16:30 minutes to 5:28 minutes.
  • Diagnostic quality and accuracy were comparable between the fast and standard protocols.
  • While SMS Turbo Spin Echo sequences showed more artifacts, overall diagnostic performance was not compromised.

Conclusions:

  • A 5-minute simultaneous multislice (SMS)-based MRI protocol for lumbar spine imaging is feasible.
  • This accelerated protocol can be implemented without significantly impacting diagnostic quality.