Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge‐preserving constraints for high‐resolution MR characterization of myocardial infarction

To enable robust reconstruction for highly accelerated three‐dimensional multicontrast late enhancement imaging to provide improved MR characterization of myocardial infarction with isotropic high spatial resolution.

[1]  Oscar Camara,et al.  Three-Dimensional Architecture of Scar and Conducting Channels Based on High Resolution ce-CMR: Insights for Ventricular Tachycardia Ablation , 2013, Circulation. Arrhythmia and electrophysiology.

[2]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Yingli Lu,et al.  Multi-contrast late enhancement CMR determined gray zone and papillary muscle involvement predict appropriate ICD therapy in patients with ischemic heart disease , 2013, Journal of Cardiovascular Magnetic Resonance.

[4]  G A Wright,et al.  Inversion‐recovery‐prepared SSFP for cardiac‐phase‐resolved delayed‐enhancement MRI , 2007, Magnetic resonance in medicine.

[5]  Mehmet Akçakaya,et al.  Accelerated late gadolinium enhancement cardiac MR imaging with isotropic spatial resolution using compressed sensing: initial experience. , 2012, Radiology.

[6]  Pierre Kornprobst,et al.  Mathematical problems in image processing - partial differential equations and the calculus of variations , 2010, Applied mathematical sciences.

[7]  Robert Sheng Xu,et al.  Multiscale properties of weighted total variation flow with applications to denoising and registration , 2015, Medical Image Anal..

[8]  Shaihan J. Malik.  Proceedings of International Society for Magnetic Resonance in Medicine , 2015 .

[9]  Lars Eckardt,et al.  Catheter Ablation of Ventricular Tachycardia , 2009, Herz Kardiovaskuläre Erkrankungen.

[10]  David M Higgins,et al.  Modified Look‐Locker inversion recovery (MOLLI) for high‐resolution T1 mapping of the heart , 2004, Magnetic resonance in medicine.

[11]  Mihaela Pop,et al.  Quantification of fibrosis in infarcted swine hearts by ex vivo late gadolinium-enhancement and diffusion-weighted MRI methods , 2013, Physics in medicine and biology.

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

[13]  Sebastian Kozerke,et al.  Acute, subacute, and chronic myocardial infarction: quantitative comparison of 2D and 3D late gadolinium enhancement MR imaging. , 2011, Radiology.

[14]  Ali Bilgin,et al.  T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing , 2012, Magnetic resonance in medicine.

[15]  O. Simonetti,et al.  The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. , 2000, The New England journal of medicine.

[16]  S. Priori,et al.  Bidirectional Ventricular Tachycardia and Fibrillation Elicited in a Knock-In Mouse Model Carrier of a Mutation in the Cardiac Ryanodine Receptor , 2005, Circulation research.

[17]  K. Keutzer,et al.  Improved Time-Resolved, 3D Phase Contrast Imaging through Variable Poisson Sampling and Partial Respiratory Triggering , 2011 .

[18]  Justin P. Haldar,et al.  PSF model-based reconstruction with sparsity constraint: Algorithm and application to real-time cardiac MRI , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

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

[20]  Tom Goldstein,et al.  The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..

[21]  Roderic I Pettigrew,et al.  Journal of Cardiovascular Magnetic Resonance Three-dimensional, Time-resolved Motion of the Coronary Arteries , 2022 .

[22]  Joshua J. E. Blauer,et al.  Identification and Acute Targeting of Gaps in Atrial Ablation Lesion Sets Using a Real-Time Magnetic Resonance Imaging System , 2012, Circulation. Arrhythmia and electrophysiology.

[23]  Katja Zeppenfeld,et al.  Infarct Tissue Heterogeneity Assessed With Contrast-Enhanced MRI Predicts Spontaneous Ventricular Arrhythmia in Patients With Ischemic Cardiomyopathy and Implantable Cardioverter-Defibrillator , 2009, Circulation. Cardiovascular imaging.

[24]  Katherine C. Wu,et al.  Infarct Tissue Heterogeneity by Magnetic Resonance Imaging Identifies Enhanced Cardiac Arrhythmia Susceptibility in Patients With Left Ventricular Dysfunction , 2007, Circulation.

[25]  R. Hendrick,et al.  Basic physics of MR contrast agents and maximization of image contrast , 1993, Journal of magnetic resonance imaging : JMRI.

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

[27]  Christopher D. Manning,et al.  Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..

[28]  E. McVeigh,et al.  Signal-to-noise measurements in magnitude images from NMR phased arrays , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[29]  Henry R. Halperin,et al.  Magnetic Resonance–Based Anatomical Analysis of Scar-Related Ventricular Tachycardia: Implications for Catheter Ablation , 2007, Circulation research.

[30]  H. Halperin,et al.  Gaps in the Ablation Line as a Potential Cause of Recovery From Electrical Isolation and Their Visualization Using MRI , 2011, Circulation. Arrhythmia and electrophysiology.

[31]  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.

[32]  W. Manning,et al.  3D late gadolinium enhancement in a single prolonged breath‐hold using supplemental oxygenation and hyperventilation , 2014, Magnetic resonance in medicine.

[33]  Alexander Dick,et al.  Reproducible Classification of Infarct Heterogeneity Using Fuzzy Clustering on Multicontrast Delayed Enhancement Magnetic Resonance Images , 2009, IEEE Transactions on Medical Imaging.

[34]  R. Judd,et al.  Assessment of Myocardial Viability by Cardiovascular Magnetic Resonance Imaging , 2022 .

[35]  Glenn S Slavin,et al.  Myocardial T1 mapping using SMART1Map: initial in vivo experience , 2013, Journal of Cardiovascular Magnetic Resonance.

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

[37]  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.

[38]  Graham A Wright,et al.  Accelerated myocardial T1 mapping using SMART1Map and compressed sensing with temporal PCA , 2014, Journal of Cardiovascular Magnetic Resonance.

[39]  W. Stevenson,et al.  Ventricular scars and ventricular tachycardia. , 2009, Transactions of the American Clinical and Climatological Association.

[40]  Martin Blaimer,et al.  Fast MR parameter mapping using k‐t principal component analysis , 2011, Magnetic resonance in medicine.

[41]  M. Griswold,et al.  Inversion recovery TrueFISP: Quantification of T1, T2, and spin density , 2004, Magnetic resonance in medicine.