Generalized autocalibrating partially parallel acquisitions (GRAPPA)
University of Würzburg · Siemens (Germany)
Abstract
In this study, a novel partially parallel acquisition (PPA) method is presented which can be used to accelerate image acquisition using an RF coil array for spatial encoding. This technique, GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is an extension of both the PILS and VD-AUTO-SMASH reconstruction techniques. As in those previous methods, a detailed, highly accurate RF field map is not needed prior to reconstruction in GRAPPA. This information is obtained from several k-space lines which are acquired in addition to the normal image acquisition. As in PILS, the GRAPPA reconstruction algorithm provides unaliased images from each component coil prior to image combination. This results…
Citation impact
- FWCI
- 50.11
- Percentile
- 100%
- References
- 21
Authors
8Topics & keywords
- Computer science
- Artificial intelligence
- Focus (optics)
- Computer vision
- Iterative reconstruction
- Image quality
- Electromagnetic coil
- Image (mathematics)