Minimum‐norm reconstruction for sensitivity‐encoded magnetic resonance spectroscopic imaging
Open Access
- 11 January 2006
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 55 (2) , 287-295
Abstract
In this work we propose minimum-norm reconstruction as a means to enhance the spatial response behavior in parallel spectroscopic MRI. By directly optimizing the shape of the spatial response function (SRF), the new method accounts for coil sensitivity variation across individual voxels and their side lobes. In this fashion, it mitigates the signal contamination and side-lobe aliasing, to which previous techniques are susceptible at low resolution. Although the computational burden is higher, minimum-norm reconstruction is shown to be feasible using an iterative algorithm. Benefits in terms of SRF shape and artifact suppression are demonstrated. Magn Reson Med, 2006.Keywords
This publication has 14 references indexed in Scilit:
- Reduction of artifacts by optimization of the sensitivity map in sensitivity‐encoded spectroscopic imagingMagnetic Resonance in Medicine, 2004
- Parallel spectroscopic imaging with spin‐echo trainsMagnetic Resonance in Medicine, 2003
- Generalized autocalibrating partially parallel acquisitions (GRAPPA)Magnetic Resonance in Medicine, 2002
- Advances in sensitivity encoding with arbitrary k‐space trajectoriesMagnetic Resonance in Medicine, 2001
- Extension of finite-support extrapolation using the generalized series model for MR spectroscopic imagingIEEE Transactions on Medical Imaging, 2001
- Sensitivity profiles from an array of coils for encoding and reconstruction in parallel (SPACE RIP)Magnetic Resonance in Medicine, 2000
- SENSE: Sensitivity encoding for fast MRIMagnetic Resonance in Medicine, 1999
- Spectral extrapolation of spatially bounded images [MRI application]IEEE Transactions on Medical Imaging, 1995
- REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problemsNumerical Algorithms, 1994
- An iteration method for the solution of the eigenvalue problem of linear differential and integral operatorsJournal of Research of the National Bureau of Standards, 1950