Gwendolyn Van Steenkiste1, Dirk H J Poot2,3, Ben Jeurissen1, Arnold J den Dekker1,4, Floris Vanhevel5, Paul M Parizel5, Jan Sijbers1. 1. iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium. 2. Imaging Science and Technology, Delft University of Technology, 2628 CJ, Delft, The Netherlands. 3. BIGR (Department of Medical informatics and Radiology), Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands. 4. Delft Center for Systems and Control, Delft University of Technology, 2628, CD Delft, The Netherlands. 5. Department of Radiology, University of Antwerp, Antwerp University Hospital, Belgium.
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 77:1818-1830, 2017.
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 77:1818-1830, 2017.
Authors: Sean C L Deoni; Jonathan O'Muircheartaigh; Emil Ljungberg; Mathew Huentelman; Steven C R Williams Journal: Magn Reson Med Date: 2022-05-12 Impact factor: 3.737