Sparsity and locally low rank regularization for MR fingerprinting

Develop a sparse and locally low rank (LLR) regularized reconstruction to accelerate MR fingerprinting (MRF).

[1]  Qianjin Feng,et al.  Rigid motion correction for magnetic resonance fingerprinting with sliding-window reconstruction and image registration. , 2019, Magnetic resonance imaging.

[2]  Claudia Prieto,et al.  Accelerated cardiac cine MRI using locally low rank and finite difference constraints. , 2016, Magnetic resonance imaging.

[3]  Yun Jiang,et al.  SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain , 2014, IEEE Transactions on Medical Imaging.

[4]  P. Boesiger,et al.  Advances in sensitivity encoding with arbitrary k‐space trajectories , 2001, Magnetic resonance in medicine.

[5]  Zhi-Pei Liang,et al.  Accelerated MR parameter mapping with low‐rank and sparsity constraints , 2015, Magnetic resonance in medicine.

[6]  Kawin Setsompop,et al.  Use of pattern recognition for unaliasing simultaneously acquired slices in simultaneous multislice MR fingerprinting , 2017, Magnetic resonance in medicine.

[7]  Jonathan I. Tamir,et al.  T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging , 2017, Magnetic resonance in medicine.

[8]  Kawin Setsompop,et al.  Simultaneous multislice magnetic resonance fingerprinting (SMS‐MRF) with direct‐spiral slice‐GRAPPA (ds‐SG) reconstruction , 2017, Magnetic resonance in medicine.

[9]  Daniel K Sodickson,et al.  Exploring the sensitivity of magnetic resonance fingerprinting to motion. , 2018, Magnetic resonance imaging.

[10]  J. Hennig,et al.  Pseudo Steady‐State Free Precession for MR‐Fingerprinting , 2017, Magnetic resonance in medicine.

[11]  M. Hestenes,et al.  Methods of conjugate gradients for solving linear systems , 1952 .

[12]  M. Griswold,et al.  MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout , 2015, Magnetic resonance in medicine.

[13]  René M. Botnar,et al.  Accelerated magnetic resonance fingerprinting using soft-weighted key-hole (MRF-SOHO) , 2018, PloS one.

[14]  Peter Kellman,et al.  Adiabatic inversion pulses for myocardial T1 mapping , 2014, Magnetic resonance in medicine.

[15]  René M. Botnar,et al.  Rigid motion‐corrected magnetic resonance fingerprinting , 2018, Magnetic resonance in medicine.

[16]  Reza Nezafat,et al.  A medical device-grade T1 and ECV phantom for global T1 mapping quality assurance—the T1 Mapping and ECV Standardization in cardiovascular magnetic resonance (T1MES) program , 2016, Journal of Cardiovascular Magnetic Resonance.

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

[18]  Yun Jiang,et al.  Improved magnetic resonance fingerprinting reconstruction with low‐rank and subspace modeling , 2018, Magnetic resonance in medicine.

[19]  Yong Chen,et al.  Multiscale reconstruction for MR fingerprinting , 2016, Magnetic resonance in medicine.

[20]  Tobias Kober,et al.  Magnetization transfer in magnetic resonance fingerprinting , 2019, Magnetic resonance in medicine.

[21]  J. Duerk,et al.  Magnetic Resonance Fingerprinting , 2013, Nature.

[22]  Jianhui Zhong,et al.  Robust sliding‐window reconstruction for Accelerating the acquisition of MR fingerprinting , 2017, Magnetic resonance in medicine.

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

[24]  Kawin Setsompop,et al.  Accelerating magnetic resonance fingerprinting (MRF) using t‐blipped simultaneous multislice (SMS) acquisition , 2016, Magnetic resonance in medicine.

[25]  Yonina C. Eldar,et al.  Low rank magnetic resonance fingerprinting , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[26]  Lawrence L. Wald,et al.  Maximum likelihood reconstruction for magnetic resonance fingerprinting , 2016, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

[27]  Reza Nezafat,et al.  A T1 and ECV phantom for global T1 mapping quality assurance: The T1 mapping and ECV standardisation in CMR (T1MES) program , 2016, Journal of Cardiovascular Magnetic Resonance.

[28]  Sunli Tang,et al.  Multicompartment magnetic resonance fingerprinting , 2018, Inverse problems.

[29]  Stephen J Sawiak,et al.  MR fingerprinting with simultaneous B1 estimation , 2015, Magnetic resonance in medicine.

[30]  Debra F. McGivney,et al.  Slice profile and B1 corrections in 2D magnetic resonance fingerprinting , 2017, Magnetic resonance in medicine.

[31]  Pierre Vandergheynst,et al.  A Compressed Sensing Framework for Magnetic Resonance Fingerprinting , 2013, SIAM J. Imaging Sci..

[32]  J. Pauly,et al.  Accelerating parameter mapping with a locally low rank constraint , 2015, Magnetic resonance in medicine.

[33]  Leslie Greengard,et al.  Accelerating the Nonuniform Fast Fourier Transform , 2004, SIAM Rev..

[34]  M. Lustig,et al.  SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space , 2010, Magnetic resonance in medicine.

[35]  Mariya Doneva,et al.  Matrix completion-based reconstruction for undersampled magnetic resonance fingerprinting data. , 2017, Magnetic resonance imaging.

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

[37]  F. Knoll,et al.  Low rank alternating direction method of multipliers reconstruction for MR fingerprinting , 2016, Magnetic resonance in medicine.

[38]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[39]  Emmanuel J. Candès,et al.  A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..

[40]  Matthias Weigel,et al.  Extended phase graphs: Dephasing, RF pulses, and echoes ‐ pure and simple , 2015, Journal of magnetic resonance imaging : JMRI.

[41]  Stephen P. Boyd,et al.  Proximal Algorithms , 2013, Found. Trends Optim..

[42]  Dan Ma,et al.  Image reconstruction algorithm for motion insensitive MR Fingerprinting (MRF): MORF , 2018, Magnetic resonance in medicine.

[43]  Vikas Gulani,et al.  Fast 3D magnetic resonance fingerprinting for a whole‐brain coverage , 2018, Magnetic resonance in medicine.

[44]  Vikas Gulani,et al.  Bayesian estimation of multicomponent relaxation parameters in magnetic resonance fingerprinting , 2018, Magnetic resonance in medicine.

[45]  Justin P. Haldar,et al.  Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics , 2017, IEEE Transactions on Medical Imaging.

[46]  Lawrence L. Wald,et al.  3D MR fingerprinting with accelerated stack-of-spirals and hybrid sliding-window and GRAPPA reconstruction , 2017, NeuroImage.

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