Super-resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1-weighted images with different slice orientations
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.
|Keywords||Reconstruction, Relaxometry, Super-resolution, T1 mapping|
|Persistent URL||dx.doi.org/10.1002/mrm.26262, hdl.handle.net/1765/96075|
|Journal||Magnetic Resonance in Medicine|
Van Steenkiste, G, Poot, D.H.J, Jeurissen, P.P.T, Den Dekker, A.J, Vanhevel, F. (Floris), Parizel, P.M, & Sijbers, J. (2016). Super-resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1-weighted images with different slice orientations. Magnetic Resonance in Medicine. doi:10.1002/mrm.26262