Iterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA
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S. Malik | H. Omer | M. Qureshi | O. Inam
[1] Hammad Omer,et al. A new parameterized architectural design for SENSE reconstruction , 2014 .
[2] Allen Klinger. Approximate pseudoinverse solutions to ill-conditioned linear systems , 1968 .
[3] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[4] Zhouping Xin,et al. Step-sizes for the gradient method , 2008 .
[5] Enrico Magli,et al. Analysis of One-Time Random Projections for Privacy Preserving Compressed Sensing , 2016, IEEE Transactions on Information Forensics and Security.
[6] M. Lustig,et al. SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space , 2010, Magnetic resonance in medicine.
[7] Christina Triantafyllou,et al. A 128‐channel receive‐only cardiac coil for highly accelerated cardiac MRI at 3 Tesla , 2008, Magnetic resonance in medicine.
[8] P. Roemer,et al. The NMR phased array , 1990, Magnetic resonance in medicine.
[9] Donglai Huo,et al. Robust GRAPPA reconstruction , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..
[10] Kenneth Ward Church,et al. Margin-constrained random projections and very sparse random projections , 2006 .
[11] Dimitris Achlioptas,et al. Database-friendly random projections: Johnson-Lindenstrauss with binary coins , 2003, J. Comput. Syst. Sci..
[12] Jianghong Wei,et al. Fuzzy -Means and Cluster Ensemble with Random Projection for Big Data Clustering , 2016 .
[13] Michael Lustig,et al. Coil compression for accelerated imaging with Cartesian sampling , 2013, Magnetic resonance in medicine.
[14] Xuelong Li,et al. L1-Norm-Based 2DPCA , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[15] Scott B King,et al. Optimum SNR data compression in hardware using an Eigencoil array , 2010, Magnetic resonance in medicine.
[16] F.L. Fontaine,et al. A Reconfigurable FPGA-based 16-Channel Front-End for MRI , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.
[17] Michael A. Saunders,et al. LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.
[18] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[19] P. Boesiger,et al. SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.
[20] Asoke K. Nandi,et al. Blind adaptive carrier phase recovery for QAM systems , 2016, Digit. Signal Process..
[21] Michael Schacht Hansen,et al. Gadgetron: An open source framework for medical image reconstruction , 2013, Magnetic resonance in medicine.
[22] Alberto D. Pascual-Montano,et al. A survey of dimensionality reduction techniques , 2014, ArXiv.
[23] Peter Boesiger,et al. Array compression for MRI with large coil arrays , 2007, Magnetic resonance in medicine.
[24] Santiago Aja-Fernández,et al. Acquisition and Reconstruction of Magnetic Resonance Imaging , 2016 .
[25] H. B. Curry. The method of steepest descent for non-linear minimization problems , 1944 .
[26] Heikki Mannila,et al. Random projection in dimensionality reduction: applications to image and text data , 2001, KDD '01.
[27] Wei Lin,et al. A hybrid method for more efficient channel‐by‐channel reconstruction with many channels , 2012, Magnetic resonance in medicine.
[28] Jim Ji,et al. Channel reduction in massive array parallel MRI , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[29] L. Ying,et al. Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction , 2012, Magnetic resonance in medicine.
[30] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Hammad Omer,et al. Parallel MRI Reconstruction Algorithm Implementation on GPU , 2016 .
[32] Kenneth Ward Church,et al. Very sparse random projections , 2006, KDD '06.
[33] Martin Blaimer,et al. General formulation for quantitative G‐factor calculation in GRAPPA reconstructions , 2009, Magnetic resonance in medicine.
[34] Lawrence L Wald,et al. Massively parallel MRI detector arrays. , 2013, Journal of magnetic resonance.
[35] M. Hestenes,et al. Methods of conjugate gradients for solving linear systems , 1952 .
[36] J. Shewchuk. An Introduction to the Conjugate Gradient Method Without the Agonizing Pain , 1994 .
[37] Robin M Heidemann,et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.
[38] L. Ying,et al. Fast GRAPPA reconstruction with random projection , 2015, Magnetic resonance in medicine.
[39] Gianluca Bontempi,et al. New Routes from Minimal Approximation Error to Principal Components , 2008, Neural Processing Letters.
[40] Yu Li,et al. A software channel compression technique for faster reconstruction with many channels. , 2008, Magnetic resonance imaging.
[41] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[42] Nicole Seiberlich,et al. Parallel MR imaging , 2012, Journal of magnetic resonance imaging : JMRI.
[43] Yuchou Chang,et al. Efficient GRAPPA reconstruction using random projection , 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.
[44] Nicole Seiberlich,et al. Improved radial GRAPPA calibration for real‐time free‐breathing cardiac imaging , 2011, Magnetic resonance in medicine.
[45] Martin Blaimer,et al. Reconstruction of undersampled non‐Cartesian data sets using pseudo‐Cartesian GRAPPA in conjunction with GROG , 2008, Magnetic resonance in medicine.
[46] Stefan Skare,et al. Comparison of reconstruction accuracy and efficiency among autocalibrating data‐driven parallel imaging methods , 2008, Magnetic resonance in medicine.