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Super-resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1 -weighted images with different slice orientations.
Van Steenkiste, Gwendolyn; Poot, Dirk H J; Jeurissen, Ben; den Dekker, Arnold J; Vanhevel, Floris; Parizel, Paul M; Sijbers, Jan.
Affiliation
  • Van Steenkiste G; iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
  • Poot DHJ; Imaging Science and Technology, Delft University of Technology, 2628 CJ, Delft, The Netherlands.
  • Jeurissen B; BIGR (Department of Medical informatics and Radiology), Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
  • den Dekker AJ; iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
  • Vanhevel F; iMinds-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
  • Parizel PM; Delft Center for Systems and Control, Delft University of Technology, 2628, CD Delft, The Netherlands.
  • Sijbers J; Department of Radiology, University of Antwerp, Antwerp University Hospital, Belgium.
Magn Reson Med ; 77(5): 1818-1830, 2017 05.
Article in En | MEDLINE | ID: mdl-27367848
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 771818-1830, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Brain / Brain Mapping / Magnetic Resonance Imaging Type of study: Prognostic_studies / Risk_factors_studies Limits: Adult / Humans / Male Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article Affiliation country: Belgium

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Brain / Brain Mapping / Magnetic Resonance Imaging Type of study: Prognostic_studies / Risk_factors_studies Limits: Adult / Humans / Male Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article Affiliation country: Belgium
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