title: Super-resolution T1estimation: Quantitative high resolution T1mapping from a set of low resolution T1-weighted images with different slice orientations.
abstract: Quantitative T1mapping is a magnetic resonance imaging technique that estimates the spin-lattice relaxation time of tissues. Even though T1mapping has a broad range of potential applications, it is not routinely used in clinical practice as accurate and precise high resolution T1mapping requires infeasibly long acquisition times.
  
  
  
  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 T1map by means of super-resolution reconstruction.
  
  
  
  Simulation and in vivo experiments show an increased spatial resolution of the T1map, 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.
  
  
  
  Super resolution T1estimation enables resolution enhancement in T1mapping with the use of standard (inversion recovery) T1acquisition sequences. Magn Reson Med 77:1818-1830, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
authors.affiliation: iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
authors.forename: Gwendolyn
authors.initials: G
authors.lastname: Van Steenkiste
authors.affiliation: Imaging Science and Technology, Delft University of Technology, 2628 CJ, Delft, The Netherlands.|BIGR (Department of Medical informatics and Radiology), Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
authors.forename: Dirk H J
authors.initials: DHJ
authors.lastname: Poot
authors.affiliation: iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
authors.forename: Ben
authors.initials: B
authors.lastname: Jeurissen
authors.affiliation: iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.|Delft Center for Systems and Control, Delft University of Technology, 2628, CD Delft, The Netherlands.
authors.forename: Arnold J
authors.initials: AJ
authors.lastname: den Dekker
authors.affiliation: Department of Radiology, University of Antwerp, Antwerp University Hospital, Belgium.
authors.forename: Floris
authors.initials: F
authors.lastname: Vanhevel
authors.affiliation: Department of Radiology, University of Antwerp, Antwerp University Hospital, Belgium.
authors.forename: Paul M
authors.initials: PM
authors.lastname: Parizel
authors.affiliation: iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
authors.forename: Jan
authors.initials: J
authors.lastname: Sijbers
mesh_terms: D000328:Adult; D000465:Algorithms; D016880:Anisotropy; D001921:Brain / Q000000981:diagnostic imaging*; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D015233:Models, Statistical; D009038:Motion; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D059629:Signal-To-Noise Ratio
keywords: T1 mapping; reconstruction; relaxometry; super-resolution