Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities
By Bradley P. Sutton, D. Noll, Jeffrey A. Fessler. IEEE Transactions on Medical Imaging, 2003
423 citations recorded by the source corpus.
Subfields: Radiation, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/86b1946ce999b67705689bd7e2320050eb7079bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Radiation
In Radiology, Nuclear Medicine and Imaging
- Michael Lustig
- Jeffrey A. Fessler
- John M. Pauly
- Daniel Potts
- Jens Keiner
- Stefan Kunis
- Justin P. Haldar
- David L. Donoho
Citations in the corpus
- SPIRiT: Iterative Self-consistent Parallel Imaging Reconstruction from Arbitrary k-Space (2010, methodology): “As a data consistency operator we used the approach described by Sutton (24).”
- Using NFFT 3---A Software Library for Various Nonequispaced Fast Fourier Transforms (2009, methodology): “Furthermore, approaches to field inhomogeneity correction have been proposed in [Sutton et al. 2003; Eggers et al. 2007].”
- MODEL-BASED IMAGE RECONSTRUCTION FOR MRI (2010, methodology): “…parametric estimation, we approximate the object f 1 rS 2 using a “finite series expansion” as follows: f 1 rS 2 5 aN j51 fjb 1 rS2 rSj 2 , (14) where b 1 # 2 denotes the object basis function, rSj denotes the center of the jth translated basis function, and N is the number of parameters.”