Model‐based nonlinear inverse reconstruction for T2 mapping using highly undersampled spin‐echo MRI
Open Access
- 20 July 2011
- journal article
- research article
- Published by Wiley in Journal of Magnetic Resonance Imaging
- Vol. 34 (2), 420-428
- https://doi.org/10.1002/jmri.22634
Abstract
Purpose: To develop a model-based reconstruction technique for T2 mapping based on multi-echo spin-echo MRI sequences with highly undersampled Cartesian data encoding. Materials and Methods: The proposed technique relies on a nonlinear inverse reconstruction algorithm which directly estimates a T2 and spin-density map from a train of undersampled spin echoes. The method is applicable to acquisitions with single receiver coils but benefits from multi-element coil arrays. The algorithm is validated for trains of 16 spin echoes with a spacing of 10 to 12 ms using numerical simulations as well as human brain MRI at 3 Tesla (T). Results: When compared with a standard T2 fitting procedure using fully sampled T2-weighted images, and depending on the available signal-to-noise ratio and number of coil elements, model-based nonlinear inverse reconstructions for both simulated and in vivo MRI data yield accurate T2 estimates for undersampling factors of 5 to 10. Conclusion: This work describes a promising strategy for T2-weighted MRI that simultaneously offers accurate T2 relaxation times and properly T2-weighted images at arbitrary echo times. For a standard spin-echo MRI sequence with Cartesian encoding, the method allows for a much higher degree of undersampling than obtainable by conventional parallel imaging. J. Magn. Reson. Imaging 2011;.Keywords
This publication has 12 references indexed in Scilit:
- Compressed sensing reconstruction for magnetic resonance parameter mappingMagnetic Resonance in Medicine, 2010
- Model-Based Iterative Reconstruction for Radial Fast Spin-Echo MRIIEEE Transactions on Medical Imaging, 2009
- Image reconstruction by regularized nonlinear inversion—Joint estimation of coil sensitivities and image contentMagnetic Resonance in Medicine, 2008
- Fast Joint Reconstruction of Dynamic $R_2^*$ and Field Maps in Functional MRIIEEE Transactions on Medical Imaging, 2008
- Sparse MRI: The application of compressed sensing for rapid MR imagingMagnetic Resonance in Medicine, 2007
- SENSE: Sensitivity encoding for fast MRIMagnetic Resonance in Medicine, 1999
- Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arraysMagnetic Resonance in Medicine, 1997
- RARE imaging: A fast imaging method for clinical MRMagnetic Resonance in Medicine, 1986
- Fourier's SeriesNature, 1899
- Fourier's SeriesNature, 1898