1. High resolution t1 estimation from multiple low resolution magnetic resonance images
- Author
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Dirk H. J. Poot, Arnold J. den Dekker, Ben Jeurissen, Jan Sijbers, and Gwendolyn Van Steenkiste
- Subjects
Computer. Automation ,medicine.diagnostic_test ,Computer science ,business.industry ,Estimation theory ,Low resolution ,Physics ,Resolution (electron density) ,Magnetic resonance imaging ,Set (abstract data type) ,Signal-to-noise ratio ,medicine ,Range (statistics) ,Computer vision ,Artificial intelligence ,business ,Image resolution ,Algorithm - 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.
- Published
- 2015