A single-shot T2 mapping protocol based on echo-split gradient-spin-echo acquisition and parametric multiplexed sensitivity encoding based on projection onto convex sets reconstruction

Magn Reson Med. 2018 Jan;79(1):383-393. doi: 10.1002/mrm.26696. Epub 2017 May 7.

Abstract

Purpose: To develop a high-speed T2 mapping protocol that is capable of accurately measuring T2 relaxation time constants from a single-shot acquisition.

Theory: A new echo-split single-shot gradient-spin-echo (GRASE) pulse sequence is developed to acquire multicontrast data while suppressing signals from most nonprimary echo pathways in Carr-Purcell-Meiboom-Gill (CPMG) echoes. Residual nonprimary pathway signals are taken into consideration when performing T2 mapping using a parametric multiplexed sensitivity encoding based on projection onto convex sets (parametric-POCSMUSE) reconstruction method that incorporates extended phase graph modeling of GRASE signals.

Methods: The single-shot echo-split GRASE-based T2 mapping procedure was evaluated in human studies at 3 Tesla. The acquired data were compared with reference data obtained with a more time-consuming interleaved spin-echo echo planar imaging protocol. T2 maps derived from conventional single-shot GRASE scans, in which nonprimary echo pathways were not appropriately addressed, were also evaluated.

Results: Using the developed single-shot T2 mapping protocol, quantitatively accurate T2 maps can be obtained with a short scan time (<0.2 seconds per slice).

Conclusion: Accurate T2 mapping with minimal signal contamination from CPMG high-order echo pathways can be achieved by the developed method that integrates single-shot echo-split GRASE acquisition and parametric-POCSMUSE reconstruction. Magn Reson Med 79:383-393, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Keywords: GRASE; T2 mapping; echo-split GRASE; extended phase graph analysis; parametric-POCSMUSE.

MeSH terms

  • Algorithms
  • Echo-Planar Imaging*
  • Fourier Analysis
  • Healthy Volunteers
  • Humans
  • Image Interpretation, Computer-Assisted*
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging*
  • Motion
  • Phantoms, Imaging
  • Radio Waves
  • Reproducibility of Results
  • Software