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 (Universiteit Antwerpen)
Dirk H J Poot (Erasmus MC, TU Delft - ImPhys/Quantitative Imaging)
Ben Jeurissen (Universiteit Antwerpen)
Arnold J. den Dekker (Universiteit Antwerpen, TU Delft - Team Shengling Shi)
Floris Vanhevel (Universiteit Antwerpen)
Paul M. Parizel (Universiteit Antwerpen)
Jan Sijbers (Universiteit Antwerpen)
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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.