Accelerated cardiac cine MRI using locally low rank and finite difference constraints.

[1]  Yi Guo,et al.  GOCART: GOlden-angle CArtesian randomized time-resolved 3D MRI. , 2016, Magnetic resonance imaging.

[2]  Volker Rasche,et al.  A Small Surrogate for the Golden Angle in Time-Resolved Radial MRI Based on Generalized Fibonacci Sequences , 2015, IEEE Transactions on Medical Imaging.

[3]  Mathews Jacob,et al.  Deformation Corrected Compressed Sensing (DC-CS): A Novel Framework for Accelerated Dynamic MRI , 2014, IEEE Transactions on Medical Imaging.

[4]  Michael Elad,et al.  ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA , 2014, Magnetic resonance in medicine.

[5]  Ganesh Adluru,et al.  Accelerating free breathing myocardial perfusion MRI using multi coil radial k − t SLR , 2013, Physics in medicine and biology.

[6]  Scott D Flamm,et al.  Standardized cardiovascular magnetic resonance (CMR) protocols 2013 update , 2013, Journal of Cardiovascular Magnetic Resonance.

[7]  Li Feng,et al.  Highly accelerated real‐time cardiac cine MRI using k–t SPARSE‐SENSE , 2013, Magnetic resonance in medicine.

[8]  Zhi-Pei Liang,et al.  High-Resolution Cardiovascular MRI by Integrating Parallel Imaging With Low-Rank and Sparse Modeling , 2013, IEEE Transactions on Biomedical Engineering.

[9]  A. Majumdar.  Improved dynamic MRI reconstruction by exploiting sparsity and rank-deficiency. , 2013, Magnetic resonance imaging.

[10]  Angshul Majumdar,et al.  Non-convex algorithm for sparse and low-rank recovery: application to dynamic MRI reconstruction. , 2013, Magnetic resonance imaging.

[11]  Mathews Jacob,et al.  Blind Compressive Sensing Dynamic MRI , 2013, IEEE Transactions on Medical Imaging.

[12]  K. Nayak,et al.  Free-breathing cardiac 3 D cine MRI at 3 T using golden-ratio Cartesian radial sampling and variable flip angle , 2013 .

[13]  Huiqian Du,et al.  Compressed sensing MR image reconstruction using a motion-compensated reference. , 2012, Magnetic resonance imaging.

[14]  Justin P. Haldar,et al.  Image Reconstruction From Highly Undersampled $( {\bf k}, {t})$-Space Data With Joint Partial Separability and Sparsity Constraints , 2012, IEEE Transactions on Medical Imaging.

[15]  Yoram Bresler,et al.  MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning , 2011, IEEE Transactions on Medical Imaging.

[16]  Rabab Kreidieh Ward,et al.  Some empirical advances in matrix completion , 2011, Signal Process..

[17]  A. Majumdar,et al.  An algorithm for sparse MRI reconstruction by Schatten p-norm minimization. , 2011, Magnetic resonance imaging.

[18]  Jeffrey A. Fessler,et al.  Parallel MR Image Reconstruction Using Augmented Lagrangian Methods , 2011, IEEE Transactions on Medical Imaging.

[19]  P. Boesiger,et al.  High resolution three‐dimensional cardiac perfusion imaging using compartment‐based k‐t principal component analysis , 2011, Magnetic resonance in medicine.

[20]  Mathews Jacob,et al.  Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR , 2011, IEEE Transactions on Medical Imaging.

[21]  Justin P. Haldar,et al.  Spatiotemporal imaging with partially separable functions: A matrix recovery approach , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[22]  Jong Chul Ye,et al.  Radial k‐t FOCUSS for high‐resolution cardiac cine MRI , 2010, Magnetic resonance in medicine.

[23]  A. Manduca,et al.  Local versus Global Low-Rank Promotion in Dynamic MRI Series Reconstruction , 2010 .

[24]  Kay Nehrke,et al.  k‐t PCA: Temporally constrained k‐t BLAST reconstruction using principal component analysis , 2009, Magnetic resonance in medicine.

[25]  Justin P. Haldar,et al.  Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization , 2009, IEEE Signal Processing Letters.

[26]  Jong Chul Ye,et al.  k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI , 2009, Magnetic resonance in medicine.

[27]  Stephen J Riederer,et al.  3D high temporal and spatial resolution contrast‐enhanced MR angiography of the whole brain , 2008, Magnetic resonance in medicine.

[28]  Peter Boesiger,et al.  Compressed sensing in dynamic MRI , 2008, Magnetic resonance in medicine.

[29]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[30]  Zhi-Pei Liang,et al.  Spatiotemporal Imaging with Partially Separable Functions , 2007, 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging.

[31]  Jeffrey A Fessler,et al.  On NUFFT-based gridding for non-Cartesian MRI. , 2007, Journal of magnetic resonance.

[32]  Zhi-Pei Liang,et al.  SPATIOTEMPORAL IMAGINGWITH PARTIALLY SEPARABLE FUNCTIONS , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[33]  Olaf Dössel,et al.  An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI , 2007, IEEE Transactions on Medical Imaging.

[34]  S. Schoenberg,et al.  Cardiac CINE MR imaging with a 32‐channel cardiac coil and parallel imaging: Impact of acceleration factors on image quality and volumetric accuracy , 2006, Journal of magnetic resonance imaging : JMRI.

[35]  Michael Lustig,et al.  k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity , 2006 .

[36]  K. Scheffler,et al.  Analysis and compensation of eddy currents in balanced SSFP , 2005, Magnetic resonance in medicine.

[37]  Stefan Neubauer,et al.  Normal human left and right ventricular and left atrial dimensions using steady state free precession magnetic resonance imaging. , 2005, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[38]  Peter Hunold,et al.  Parallel acquisition techniques in cardiac cine magnetic resonance imaging using TrueFISP sequences: Comparison of image quality and artifacts , 2004, Journal of magnetic resonance imaging : JMRI.

[39]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.