High resolution t1 estimation from multiple low resolution magnetic resonance images
| Autor: | Dirk H. J. Poot, Arnold J. den Dekker, Ben Jeurissen, Jan Sijbers, Gwendolyn Van Steenkiste |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
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 |
| Zdroj: | Proceedings ISBI |
| ISSN: | 1945-7928 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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