Publication
Title
Super-resolution estimation : quantitative high resolution mapping from a set of low resolution -weighted images with different slice orientations
Author
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.
Language
English
Source (journal)
Magnetic resonance in medicine. - Orlando, Fla
Publication
Orlando, Fla : 2017
ISSN
0740-3194
DOI
10.1002/MRM.26262
Volume/pages
77 :5 (2017) , p. 1818-1830
ISI
000399666400009
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Integrated cerebral networks for perception, cognition and action in human and non-human primates (CEREBNET).
Resolution improvement of diffusion MRI images through model based and numeric-symbolic reconstruction.
Quantitative tomographic segmentation of magnetic resonance images
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 02.01.2017
Last edited 09.10.2023
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