Super-resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1-weighted images with different slice orientations

Gwendolyn Van Steenkiste*, Dirk H J Poot, Ben Jeurissen, Arnold J. den Dekker, Floris Vanhevel, Paul M. Parizel, Jan Sijbers

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)

Abstract

Purpose: Quantitative T1 mapping is a magnetic resonance imaging technique that estimates the spin-lattice relaxation time of tissues. Even though T1 mapping has a broad range of potential applications, it is not routinely used in clinical practice as accurate and precise high resolution T1 mapping requires infeasibly long acquisition times. Method: To improve the trade-off between the acquisition time, signal-to-noise ratio and spatial resolution, we acquire a set of low resolution T1-weighted images and directly estimate a high resolution T1 map by means of super-resolution reconstruction. Results: Simulation and in vivo experiments show an increased spatial resolution of the T1 map, while preserving a high signal-to-noise ratio and short scan time. Moreover, the proposed method outperforms conventional estimation in terms of root-mean-square error. Conclusion: Super resolution T1 estimation enables resolution enhancement in T1 mapping with the use of standard (inversion recovery) T1 acquisition sequences. Magn Reson Med, 2016.

Original languageEnglish
Pages (from-to)1818-1830
JournalMagnetic Resonance in Medicine
Volume77
Issue number5
DOIs
Publication statusPublished - 2017

Keywords

  • Reconstruction
  • Relaxometry
  • Super-resolution
  • T mapping

Fingerprint

Dive into the research topics of 'Super-resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1-weighted images with different slice orientations'. Together they form a unique fingerprint.

Cite this