Toeplitz random encoding MR imaging using compressed sensing
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Dong Liang | Dan Xu | Leslie Ying | Haifeng Wang | Guangwu Xu | Kevin F. King | L. Ying | D. Liang | Dan Xu | K. King | Guangwu Xu | Haifeng Wang
[1] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[2] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[3] Richard G. Baraniuk,et al. Compressive Sensing , 2008, Computer Vision, A Reference Guide.
[4] Justin K. Romberg,et al. Compressive Sensing by Random Convolution , 2009, SIAM J. Imaging Sci..
[5] F. Sebert,et al. Toeplitz block matrices in compressed sensing and their applications in imaging , 2008, 2008 International Conference on Information Technology and Applications in Biomedicine.
[6] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[7] Justin P. Haldar,et al. Compressed-Sensing MRI With Random Encoding , 2011, IEEE Transactions on Medical Imaging.
[8] Peter Boesiger,et al. Compressed sensing in dynamic MRI , 2008, Magnetic resonance in medicine.
[9] E. Candès,et al. Inverse Problems Sparsity and incoherence in compressive sampling , 2007 .
[10] J. C. Ye,et al. Projection reconstruction MR imaging using FOCUSS , 2007, Magnetic resonance in medicine.
[11] Stephen J. Wright,et al. Toeplitz-Structured Compressed Sensing Matrices , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.
[12] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[13] K. T. Block,et al. Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint , 2007, Magnetic resonance in medicine.
[14] F. Sebert,et al. Compressed Sensing MRI with Random B1 field , 2007 .
[15] Weili Lin. Principles of magnetic resonance imaging: a signal processing perspective [Book Review] , 2000, IEEE Engineering in Medicine and Biology Magazine.
[16] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.