DocumentCode :
724987
Title :
High resolution T1 estimation from multiple low resolution magnetic resonance images
Author :
Van Steenkiste, Gwendolyn ; Poot, Dirk H. J. ; Jeurissen, Ben ; den Dekker, Arnold J. ; Sijbers, Jan
Author_Institution :
iMinds-Vision Lab., Univ. of Antwerp, Antwerp, Belgium
fYear :
2015
fDate :
16-19 April 2015
Firstpage :
1036
Lastpage :
1039
Abstract :
Quantitative T1 mapping is a magnetic resonance imaging technique in which the spin-lattice relaxation time of tissues is estimated. Even though T1 mapping has a broad range of potential applications, it is not routinely used in clinical practice. The long acquisition time of the required set of high resolution T1-weighted images, needed to obtain a precise high resolution T1 map, is clinically infeasible. To improve the trade-off between the acquisition time, SNR and spatial resolution, we propose to combine super-resolution reconstruction with T1 parameter estimation into one integrated method that estimates a high resolution T1 map directly from a set of low resolution T1-weighted images.
Keywords :
biological tissues; biomedical MRI; data acquisition; image reconstruction; image resolution; medical image processing; noise; parameter estimation; spin-lattice relaxation; T1 mapping application; T1 parameter estimation; acquisition time-SNR trade-off; acquisition time-spatial resolution trade-off; clinical practice; high resolution T1 estimation; high resolution T1-weighted image; integrated method; low resolution T1-weighted image; multiple low resolution magnetic resonance image; precise high resolution T1 map; quantitative T1 mapping; superresolution reconstruction; tissue spin-lattice relaxation time estimation; Estimation; Magnetic resonance imaging; Nonhomogeneous media; Signal resolution; Signal to noise ratio; Spatial resolution; Quantitative MRI; Super-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/ISBI.2015.7164048
Filename :
7164048
Link To Document :
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