Accelerated and motion-robust in vivo T2 mapping from radially undersampled data using bloch-simulation-based iterative reconstruction

Noam Ben-Eliezer, Daniel K. Sodickson, Timothy Shepherd, Graham C. Wiggins, Kai Tobias Block

Research output: Contribution to journalArticlepeer-review


Purpose Development of a quantitative transverse relaxation time (T2)-mapping platform that operates at clinically feasible timescales by employing advanced image reconstruction of radially undersampled multi spin-echo (MSE) datasets. Methods Data was acquired on phantom and in vivo at 3 Tesla using MSE protocols employing radial k-space sampling trajectories. In order to overcome the nontrivial spin evolution associated with MSE protocols, a numerical signal model was precalculated based on Bloch simulations of the actual pulse-sequence scheme used in the acquisition process. This signal model was subsequently incorporated into an iterative model-based image reconstruction process, producing T2 and proton-density maps. Results T2 maps of phantom and in vivo brain were successfully constructed, closely matching values produced by a single spin-echo reference scan. High-resolution mapping was also performed for the spinal cord in vivo, differentiating the underlying gray/white matter morphology. Conclusion The presented MSE data-processing framework offers reliable mapping of T2 relaxation values in a ∼5-minute timescale, free of user- and scanner-dependent variations. The use of radial k-space sampling provides further advantages in the form of high immunity to irregular physiological motion, as well as enhanced spatial resolutions, owing to its inherent ability to perform alias-free limited field-of-view imaging.

Original languageEnglish (US)
Pages (from-to)1346-1354
Number of pages9
JournalMagnetic resonance in medicine
Issue number3
StatePublished - Mar 1 2016


  • T mapping
  • model-based reconstruction
  • quantitative MRI
  • radial k-space sampling

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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