Simple motion correction strategy reduces respiratory-induced motion artifacts for k-t accelerated and compressed-sensing cardiovascular magnetic resonance perfusion imaging
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Sebastian Kozerke | Daniel S Weller | Yang Yang | Ruixi Zhou | Michael Salerno | Wei Huang | Christopher M Kramer | Xiao Chen | C. Kramer | M. Salerno | S. Kozerke | Wei Huang | Yang Yang | Xiao Chen | D. Weller | Ruixi Zhou | R. Zhou
[1] Robin M Heidemann,et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.
[2] D. O. Walsh,et al. Adaptive reconstruction of phased array MR imagery , 2000, Magnetic resonance in medicine.
[3] Kay Nehrke,et al. Quantification of myocardial perfusion using free‐breathing MRI and prospective slice tracking , 2009, Magnetic resonance in medicine.
[4] Jong Chul Ye,et al. k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI , 2009, Magnetic resonance in medicine.
[5] M. Lustig,et al. SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space , 2010, Magnetic resonance in medicine.
[6] P. Batchelor,et al. Matrix description of general motion correction applied to multishot images , 2005, Magnetic resonance in medicine.
[7] Peter Boesiger,et al. Clinical feasibility of accelerated, high spatial resolution myocardial perfusion imaging. , 2010, JACC. Cardiovascular imaging.
[8] Peter Kellman,et al. Retrospective reconstruction of high temporal resolution cine images from real‐time MRI using iterative motion correction , 2012, Magnetic resonance in medicine.
[9] C. Meyer,et al. Motion-corrected compressed-sensing enables robust spiral first-pass perfusion imaging with whole heart coverage , 2014, Journal of Cardiovascular Magnetic Resonance.
[10] Daniel Rueckert,et al. Non-rigid registration of cardiac MR: application to motion modelling and atlas-based segmentation , 2002, Proceedings IEEE International Symposium on Biomedical Imaging.
[11] Leon Axel,et al. Combination of Compressed Sensing and Parallel Imaging for Highly-Accelerated 3 D First-Pass Cardiac Perfusion MRI , 2009 .
[12] I. Ford,et al. Validation of Magnetic Resonance Myocardial Perfusion Imaging With Fractional Flow Reserve for the Detection of Significant Coronary Heart Disease , 2009, Circulation.
[13] Yang Yang,et al. Adenosine Stress Cardiovascular Magnetic Resonance With Variable-Density Spiral Pulse Sequences Accurately Detects Coronary Artery Disease: Initial Clinical Evaluation , 2014, Circulation. Cardiovascular imaging.
[14] P. Boesiger,et al. SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.
[15] M. Motwani,et al. Three-dimensional balanced steady state free precession myocardial perfusion cardiovascular magnetic resonance at 3T using dual-source parallel RF transmission: initial experience , 2014, Journal of Cardiovascular Magnetic Resonance.
[16] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[17] M. Salman Asif,et al. Motion‐adaptive spatio‐temporal regularization for accelerated dynamic MRI , 2013, Magnetic resonance in medicine.
[18] R. Edelman,et al. First-pass cardiac perfusion: evaluation with ultrafast MR imaging. , 1990, Radiology.
[19] Marcos Martín-Fernández,et al. Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath‐hold cardiac cine MRI , 2016, Magnetic resonance in medicine.
[20] David Atkinson,et al. Motion corrected compressed sensing for free‐breathing dynamic cardiac MRI , 2013, Magnetic resonance in medicine.
[21] Jong Chul Ye,et al. Improved k–t BLAST and k–t SENSE using FOCUSS , 2007, Physics in medicine and biology.
[22] P. Kellman,et al. Imaging sequences for first pass perfusion --a review. , 2007, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.
[23] Hans J. Johnson,et al. Advanced Normalization Tools (ANTs) , 2020 .
[24] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[25] Peter Boesiger,et al. k‐t BLAST and k‐t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations , 2003, Magnetic resonance in medicine.
[26] F H Epstein,et al. Adaptive sensitivity encoding incorporating temporal filtering (TSENSE) † , 2001, Magnetic resonance in medicine.
[27] M. Lustig,et al. Compressed Sensing MRI , 2008, IEEE Signal Processing Magazine.
[28] P. Boesiger,et al. Dynamic contrast‐enhanced myocardial perfusion MRI accelerated with k‐t sense , 2007, Magnetic resonance in medicine.
[29] Daniel Rueckert,et al. Comparison of Cardiac Motion Across Subjects Using Non-rigid Registration , 2002, MICCAI.
[30] G. V. von Schulthess,et al. Assessment of Myocardial Perfusion in Coronary Artery Disease by Magnetic Resonance: A Comparison With Positron Emission Tomography and Coronary Angiography , 2001, Circulation.
[31] D. Berman,et al. All‐systolic non–ECG‐gated myocardial perfusion MRI: Feasibility of multi‐slice continuous first‐pass imaging , 2015, Magnetic resonance in medicine.
[32] Peter Kellman,et al. Dynamic autocalibrated parallel imaging using temporal GRAPPA (TGRAPPA) , 2005, Magnetic resonance in medicine.
[33] P. Boesiger,et al. High spatial resolution myocardial perfusion cardiac magnetic resonance for the detection of coronary artery disease , 2008, European heart journal.
[34] E. Kholmovski,et al. Acquisition and reconstruction of undersampled radial data for myocardial perfusion magnetic resonance imaging , 2009, Journal of magnetic resonance imaging : JMRI.
[35] Kay Nehrke,et al. k‐t PCA: Temporally constrained k‐t BLAST reconstruction using principal component analysis , 2009, Magnetic resonance in medicine.
[36] W. Segars,et al. MRXCAT: Realistic numerical phantoms for cardiovascular magnetic resonance , 2014, Journal of Cardiovascular Magnetic Resonance.
[37] Li Feng,et al. Rapid free-breathing dynamic contrast-enhanced MRI using motion-resolved compressed sensing , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[38] Yang Yang,et al. Motion‐compensated compressed sensing for dynamic contrast‐enhanced MRI using regional spatiotemporal sparsity and region tracking: Block low‐rank sparsity with motion‐guidance (BLOSM) , 2014, Magnetic resonance in medicine.