Two-dimensional XD-GRASP provides better image quality than conventional 2D cardiac cine MRI for patients who cannot suspend respiration

[1]  T. Leiner,et al.  Advances in cardiovascular MR imaging , 2018, Magnetic Resonance Materials in Physics, Biology and Medicine.

[2]  Alvaro R. De Pierro,et al.  Improving compressive sensing in MRI with separate magnitude and phase priors , 2017, Multidimens. Syst. Signal Process..

[3]  Srikanth K. Iyer,et al.  Self‐gated MRI of multiple beat morphologies in the presence of arrhythmias , 2017, Magnetic resonance in medicine.

[4]  L. Axel,et al.  Use of self-gated radial cardiovascular magnetic resonance to detect and classify arrhythmias (atrial fibrillation and premature ventricular contraction) , 2016, Journal of Cardiovascular Magnetic Resonance.

[5]  Robert Grimm,et al.  “One-Stop Shop”: Free-Breathing Dynamic Contrast-Enhanced Magnetic Resonance Imaging of the Kidney Using Iterative Reconstruction and Continuous Golden-Angle Radial Sampling , 2016, Investigative radiology.

[6]  Junzhou Huang,et al.  Real time dynamic MRI by exploiting spatial and temporal sparsity. , 2016, Magnetic resonance imaging.

[7]  Leon Axel,et al.  XD‐GRASP: Golden‐angle radial MRI with reconstruction of extra motion‐state dimensions using compressed sensing , 2016, Magnetic resonance in medicine.

[8]  Lan-Rong Dung,et al.  Measurement of heart rate variability using off-the-shelf smart phones , 2016, BioMedical Engineering OnLine.

[9]  O. Simonetti,et al.  Edge Sharpness Assessment by Parametric Modeling: Application to Magnetic Resonance Imaging. , 2015, Concepts in magnetic resonance. Part A, Bridging education and research.

[10]  D. Saloner,et al.  MR physics in practice: how to optimize acquisition quality and time for cardiac MR imaging. , 2015, Magnetic resonance imaging clinics of North America.

[11]  D. Berman,et al.  ECG and navigator‐free four‐dimensional whole‐heart coronary MRA for simultaneous visualization of cardiac anatomy and function , 2014, Magnetic resonance in medicine.

[12]  D Hahn,et al.  Whole-Heart Cine MRI in a Single Breath-Hold – A Compressed Sensing Accelerated 3D Acquisition Technique for Assessment of Cardiac Function , 2013, Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

[13]  M. Weber.  Magnetic resonance imaging of the skeletal musculature , 2014 .

[14]  Thomas E. Yankeelov,et al.  Potential of compressed sensing in quantitative MR imaging of cancer , 2013, Cancer imaging : the official publication of the International Cancer Imaging Society.

[15]  Pedro F Ferreira,et al.  Cardiovascular magnetic resonance artefacts , 2013, Journal of Cardiovascular Magnetic Resonance.

[16]  Wei Lin,et al.  Off‐resonance artifacts correction with convolution in k‐space (ORACLE) , 2012, Magnetic resonance in medicine.

[17]  Rachel W Chan,et al.  The influence of radial undersampling schemes on compressed sensing reconstruction in breast MRI , 2012, Magnetic resonance in medicine.

[18]  Jiangsheng Yu,et al.  Automatic coil selection for streak artifact reduction in radial MRI , 2012, Magnetic resonance in medicine.

[19]  Tobias Kober,et al.  Motion compensation strategies in magnetic resonance imaging. , 2012, Critical reviews in biomedical engineering.

[20]  Changchun Liu,et al.  Automatic detection of atrial fibrillation using R-R interval signal , 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

[21]  Minh N. Do,et al.  Reference-guided sparsifying transform design for compressive sensing MRI , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[22]  Manesh R. Patel,et al.  ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. , 2010, Circulation.

[23]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[24]  M. Lustig,et al.  Compressed Sensing MRI , 2008, IEEE Signal Processing Magazine.

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

[26]  K. T. Block,et al.  Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint , 2007, Magnetic resonance in medicine.

[27]  Suyash P. Awate,et al.  Temporally constrained reconstruction of dynamic cardiac perfusion MRI , 2007, Magnetic resonance in medicine.

[28]  Richard B Thompson,et al.  Cardiorespiratory‐resolved magnetic resonance imaging: Measuring respiratory modulation of cardiac function , 2006, Magnetic resonance in medicine.

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

[30]  Marco Francone,et al.  Real‐time cine MRI of ventricular septal motion: A novel approach to assess ventricular coupling , 2005, Journal of magnetic resonance imaging : JMRI.

[31]  Warren J Manning,et al.  Clinical indications for cardiovascular magnetic resonance (CMR): Consensus Panel report. , 2004, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[32]  Dark flow artifacts with steady-state free precession cine MR technique: causes and implications for cardiac MR imaging. , 2004, Radiology.

[33]  G H Glover,et al.  Projection Reconstruction Techniques for Reduction of Motion Effects in MRI , 1992, Magnetic resonance in medicine.

[34]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .