Strain imaging using cardiac magnetic resonance

The objective assessments of left ventricular (LV) and right ventricular (RV) ejection fractions (EFs) are the main important tasks of routine cardiovascular magnetic resonance (CMR). Over the years, CMR has emerged as the reference standard for the evaluation of biventricular morphology and function. However, changes in EF may occur in the late stages of the majority of cardiac diseases, and being a measure of global function, it has limited sensitivity for identifying regional myocardial impairment. On the other hand, current wall motion evaluation is done on a subjective basis and subjective, qualitative analysis has a substantial error rate. In an attempt to better quantify global and regional LV function; several techniques, to assess myocardial deformation, have been developed, over the past years. The aim of this review is to provide a comprehensive compendium of all the CMR techniques to assess myocardial deformation parameters as well as the application in different clinical scenarios.

[1]  David J. Fleet,et al.  Performance of optical flow techniques , 1994, International Journal of Computer Vision.

[2]  Bruce S Spottiswoode,et al.  Mapping right ventricular myocardial mechanics using 3D cine DENSE cardiovascular magnetic resonance , 2012, Journal of Cardiovascular Magnetic Resonance.

[3]  Andreas Schuster,et al.  Echocardiography and Cardiac Magnetic Resonance‐Based Feature Tracking in the Assessment of Myocardial Mechanics in Tetralogy of Fallot: An Intermodality Comparison , 2013, Echocardiography.

[4]  S. Solomon,et al.  Age- and Sex-Based Reference Limits and Clinical Correlates of Myocardial Strain and Synchrony: The Framingham Heart Study , 2013, Circulation. Cardiovascular imaging.

[5]  S. Raman,et al.  Cardiac magnetic resonance tissue tracking in right ventricle: Feasibility and normal values. , 2017, Magnetic resonance imaging.

[6]  Paul Knaapen,et al.  Left ventricular torsion: an expanding role in the analysis of myocardial dysfunction. , 2009, JACC. Cardiovascular imaging.

[7]  Jaco J M Zwanenburg,et al.  Myocardial strain and torsion quantified by cardiovascular magnetic resonance tissue tagging: studies in normal and impaired left ventricular function. , 2006, Journal of the American College of Cardiology.

[8]  H. Wen,et al.  DENSE: displacement encoding with stimulated echoes in cardiac functional MRI. , 1999, Journal of magnetic resonance.

[9]  M. Tadic Multimodality Evaluation of the Right Ventricle: An Updated Review , 2015, Clinical cardiology.

[10]  Leon Axel,et al.  Numerical and in vivo validation of fast cine displacement‐encoded with stimulated echoes (DENSE) MRI for quantification of regional cardiac function , 2009, Magnetic resonance in medicine.

[11]  N. Marx,et al.  Layer-specific analysis of myocardial deformation for assessment of infarct transmurality: comparison of strain-encoded cardiovascular magnetic resonance with 2D speckle tracking echocardiography. , 2013, European heart journal cardiovascular Imaging.

[12]  G. Pedrizzetti,et al.  Diagnostic Concordance of Echocardiography and Cardiac Magnetic Resonance–Based Tissue Tracking for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy , 2014, Circulation. Cardiovascular imaging.

[13]  Harald Becher,et al.  Global and regional left ventricular myocardial deformation measures by magnetic resonance feature tracking in healthy volunteers: comparison with tagging and relevance of gender , 2013, Journal of Cardiovascular Magnetic Resonance.

[14]  J. Voigt,et al.  Mechanical dispersion assessed by myocardial strain in patients after myocardial infarction for risk prediction of ventricular arrhythmia. , 2010, JACC. Cardiovascular imaging.

[15]  Jürgen Hennig,et al.  Fast phase contrast cardiac magnetic resonance imaging: Improved assessment and analysis of left ventricular wall motion , 2002, Journal of magnetic resonance imaging : JMRI.

[16]  M. Robson,et al.  Myocardial tissue phase mapping with cine phase-contrast mr imaging: regional wall motion analysis in healthy volunteers. , 2006, Radiology.

[17]  A. Radjenovic,et al.  Assessment of the relationships between myocardial contractility and infarct tissue revealed by serial magnetic resonance imaging in patients with acute myocardial infarction , 2015, The International Journal of Cardiovascular Imaging.

[18]  E. Schelbert,et al.  Global longitudinal strain and global circumferential strain by speckle-tracking echocardiography and feature-tracking cardiac magnetic resonance imaging: comparison with left ventricular ejection fraction. , 2015, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[19]  Wojciech Mazur,et al.  Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal values. , 2015, European heart journal cardiovascular Imaging.

[20]  E. Fleck,et al.  Value of additional strain analysis with feature tracking in dobutamine stress cardiovascular magnetic resonance for detecting coronary artery disease , 2014, Journal of Cardiovascular Magnetic Resonance.

[21]  M. Heymans,et al.  Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance , 2014, Journal of Cardiovascular Magnetic Resonance.

[22]  Jerry L Prince,et al.  Cardiac motion tracking using CINE harmonic phase (HARP) magnetic resonance imaging , 1999, Magnetic resonance in medicine.

[23]  Walter Heindel,et al.  Biventricular myocardial strain analysis in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) using cardiovascular magnetic resonance feature tracking , 2014, Journal of Cardiovascular Magnetic Resonance.

[24]  V. Fuster,et al.  Characterization and clinical significance of right ventricular mechanics in pulmonary hypertension evaluated with cardiovascular magnetic resonance feature tracking , 2016, Journal of Cardiovascular Magnetic Resonance.

[25]  S. Plein,et al.  Myocardial strain and symptom severity in severe aortic stenosis: insights from cardiovascular magnetic resonance. , 2017, Quantitative imaging in medicine and surgery.

[26]  Alistair A Young,et al.  Comparison of magnetic resonance feature tracking for systolic and diastolic strain and strain rate calculation with spatial modulation of magnetization imaging analysis , 2015, Journal of magnetic resonance imaging : JMRI.

[27]  P. Beerbaum,et al.  Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications , 2016, Circulation. Cardiovascular imaging.

[28]  Nael F Osman,et al.  Strain-encoding cardiovascular magnetic resonance for assessment of right-ventricular regional function , 2008, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[29]  Robert Fleck,et al.  Comparison of magnetic resonance feature tracking for strain calculation with harmonic phase imaging analysis. , 2010, JACC. Cardiovascular imaging.

[30]  E. Nagel,et al.  Inter-study reproducibility of cardiovascular magnetic resonance myocardial feature tracking , 2012, Journal of Cardiovascular Magnetic Resonance.

[31]  K. Gauvreau,et al.  Relation of biventricular strain and dyssynchrony in repaired tetralogy of fallot measured by cardiac magnetic resonance to death and sustained ventricular tachycardia. , 2015, The American journal of cardiology.

[32]  S. Plein,et al.  Relationship between cardiac deformation parameters measured by cardiovascular magnetic resonance and aerobic fitness in endurance athletes , 2016, Journal of Cardiovascular Magnetic Resonance.

[33]  Donato Mele,et al.  Speckle‐Tracking Echocardiography , 2011, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[34]  D. Maintz,et al.  Quantification of biventricular myocardial function using cardiac magnetic resonance feature tracking, endocardial border delineation and echocardiographic speckle tracking in patients with repaired tetralogy of fallot and healthy controls , 2012, Journal of Cardiovascular Magnetic Resonance.

[35]  M. Takeuchi,et al.  Prognostic value of biventricular mechanical parameters assessed using cardiac magnetic resonance feature‐tracking analysis to predict future cardiac events , 2017, Journal of magnetic resonance imaging : JMRI.

[36]  A. Arai,et al.  Heterogeneity of Intramural Function in Hypertrophic Cardiomyopathy: Mechanistic Insights From MRI Late Gadolinium Enhancement and High-Resolution Displacement Encoding With Stimulated Echoes Strain Maps , 2011, Circulation. Cardiovascular imaging.

[37]  A. Ellims,et al.  T1 Mapping Techniques in Assessment of Ventricular Stiffness , 2015, Current Cardiovascular Imaging Reports.

[38]  Stefan L. Zimmerman,et al.  Right ventricular strain by MR quantitatively identifies regional dysfunction in patients with arrhythmogenic right ventricular cardiomyopathy , 2016, Journal of magnetic resonance imaging : JMRI.

[39]  W. H. Guier,et al.  Accurate systolic wall thickening by nuclear magnetic resonance imaging with tissue tagging: correlation with sonomicrometers in normal and ischemic myocardium. , 1993, Journal of the American College of Cardiology.

[40]  Tal Geva,et al.  Reproducibility of MRI measurements of right ventricular size and function in patients with normal and dilated ventricles , 2008, Journal of magnetic resonance imaging : JMRI.

[41]  D. Adam,et al.  Myocardial deformation imaging by two-dimensional speckle-tracking echocardiography for prediction of global and segmental functional changes after acute myocardial infarction: a comparison with late gadolinium enhancement cardiac magnetic resonance. , 2014, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[42]  Derliz Mereles,et al.  Quantitative analysis of left ventricular strain using cardiac computed tomography. , 2014, European journal of radiology.

[43]  G. Pedrizzetti,et al.  Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use , 2016, Journal of Cardiovascular Magnetic Resonance.

[44]  Michael Becker,et al.  Myocardial strain measurement with 2-dimensional speckle-tracking echocardiography: definition of normal range. , 2009, JACC. Cardiovascular imaging.

[45]  A. Proclemer,et al.  Systolic and diastolic myocardial mechanics in hypertrophic cardiomyopathy and their link to the extent of hypertrophy, replacement fibrosis and interstitial fibrosis , 2015, The International Journal of Cardiovascular Imaging.

[46]  Jerry L Prince,et al.  Imaging longitudinal cardiac strain on short‐axis images using strain‐encoded MRI , 2001, Magnetic resonance in medicine.

[47]  D. Maintz,et al.  Left and right atrial feature tracking in acute myocarditis: A feasibility study. , 2017, European journal of radiology.

[48]  John Gorcsan,et al.  Feature tracking measurement of dyssynchrony from cardiovascular magnetic resonance cine acquisitions: comparison with echocardiographic speckle tracking , 2013, Journal of Cardiovascular Magnetic Resonance.

[49]  Gerry P McCann,et al.  Comparison of cardiovascular magnetic resonance feature tracking and tagging for the assessment of left ventricular systolic strain in acute myocardial infarction. , 2015, European journal of radiology.

[50]  P. V. van Dijk Direct cardiac NMR imaging of heart wall and blood flow velocity. , 1984, Journal of computer assisted tomography.

[51]  J. Panting,et al.  Left ventricular lead position, mechanical activation, and myocardial scar in relation to left ventricular reverse remodeling and clinical outcomes after cardiac resynchronization therapy: A feature-tracking and contrast-enhanced cardiovascular magnetic resonance study. , 2016, Heart rhythm.

[52]  Maxim Zaitsev,et al.  Navigator gated high temporal resolution tissue phase mapping of myocardial motion , 2006, Magnetic resonance in medicine.

[53]  H. Bezerra,et al.  The Combined Incremental Prognostic Value of LVEF, Late Gadolinium Enhancement, and Global Circumferential Strain Assessed by CMR. , 2015, JACC. Cardiovascular imaging.

[54]  E. McVeigh,et al.  Tagged MR imaging in a deforming phantom: photographic validation. , 1994, Radiology.

[55]  D. Maintz,et al.  Diagnostic implications of magnetic resonance feature tracking derived myocardial strain parameters in acute myocarditis. , 2016, European journal of radiology.

[56]  H. Katus,et al.  Age- and gender-related normal left ventricular deformation assessed by cardiovascular magnetic resonance feature tracking , 2015, Journal of Cardiovascular Magnetic Resonance.

[57]  H. Katus,et al.  1113 MAPSE and TAPSE measured by MRI correlate with left and right ventricular ejection fraction and NTproBNP in patients with in dilated cardiomyopathy , 2008 .

[58]  T. Kasai,et al.  Cardiac magnetic resonance imaging-based myocardial strain study for evaluation of cardiotoxicity in breast cancer patients treated with trastuzumab: A pilot study to evaluate the feasibility of the method. , 2016, Cardiology journal.

[59]  N. Osman,et al.  Strain‐encoded (SENC) magnetic resonance imaging to evaluate regional heterogeneity of myocardial strain in healthy volunteers: Comparison with conventional tagging , 2009, Journal of magnetic resonance imaging : JMRI.

[60]  M. Rajadhyaksha,et al.  Confocal imaging-guided laser ablation of basal cell carcinomas: an ex vivo study. , 2015, The Journal of investigative dermatology.

[61]  E. Zerhouni,et al.  Human heart: tagging with MR imaging--a method for noninvasive assessment of myocardial motion. , 1988, Radiology.

[62]  S. Maier,et al.  Improved myocardial tagging contrast , 1993, Magnetic resonance in medicine.

[63]  Piet Claus,et al.  Tissue Tracking Technology for Assessing Cardiac Mechanics: Principles, Normal Values, and Clinical Applications. , 2015, JACC. Cardiovascular imaging.

[64]  M. Steinmetz,et al.  Cardiovascular magnetic resonance feature-tracking assessment of myocardial mechanics: Intervendor agreement and considerations regarding reproducibility , 2015, Clinical radiology.

[65]  P. Sengupta,et al.  Feature Tracking-Derived Peak Systolic Strain Compared to Late Gadolinium Enhancement in Troponin-Positive Myocarditis: A Case–Control Study , 2016, Pediatric Cardiology.

[66]  T. Geva,et al.  Comparison of cardiac MRI tissue tracking and myocardial tagging for assessment of regional ventricular strain , 2012, The International Journal of Cardiovascular Imaging.

[67]  Richard V. Williams,et al.  Novel Cardiac Magnetic Resonance Feature Tracking (CMR-FT) Analysis for Detection of Myocardial Fibrosis in Pediatric Hypertrophic Cardiomyopathy , 2016, Pediatric Cardiology.

[68]  A. Chiribiri,et al.  Quantification of left atrial strain and strain rate using Cardiovascular Magnetic Resonance myocardial feature tracking: a feasibility study , 2014, Journal of Cardiovascular Magnetic Resonance.

[69]  Pierre Croisille,et al.  Myocardial tagging with MR imaging: overview of normal and pathologic findings. , 2012, Radiographics : a review publication of the Radiological Society of North America, Inc.

[70]  J. Townend,et al.  Mechanical effects of left ventricular midwall fibrosis in non-ischemic cardiomyopathy , 2015, Journal of Cardiovascular Magnetic Resonance.

[71]  Pietro Delise,et al.  Right Ventricular Strain and Dyssynchrony Assessment in Arrhythmogenic Right Ventricular Cardiomyopathy: Cardiac Magnetic Resonance Feature-Tracking Study , 2015, Circulation. Cardiovascular imaging.

[72]  Masahiko Kurabayashi,et al.  Direct comparison of cardiac magnetic resonance feature tracking and 2D/3D echocardiography speckle tracking for evaluation of global left ventricular strain. , 2016, European heart journal cardiovascular Imaging.

[73]  K. Clément,et al.  Assessment of left atrial function by MRI myocardial feature tracking , 2015, Journal of magnetic resonance imaging : JMRI.

[74]  Jennifer Keegan,et al.  MR assessment of regional myocardial mechanics , 2013, Journal of magnetic resonance imaging : JMRI.

[75]  M. Oudkerk,et al.  Dobutamine Cardiovascular Magnetic Resonance for the Detection of Myocardial Ischemia With the Use of Myocardial Tagging , 2003, Circulation.

[76]  Colin Berry,et al.  Left ventricular strain and its pattern estimated from cine CMR and validation with DENSE , 2014, Physics in medicine and biology.

[77]  A. Voss,et al.  Assessment of myocardial deformation with cardiac magnetic resonance strain imaging improves risk stratification in patients with dilated cardiomyopathy. , 2015, European heart journal cardiovascular Imaging.

[78]  P. Agarwal,et al.  Relation of strain by feature tracking and clinical outcome in children, adolescents, and young adults with hypertrophic cardiomyopathy. , 2014, The American journal of cardiology.

[79]  Jan D’hooge,et al.  Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting , 2017, Journal of Cardiovascular Magnetic Resonance.

[80]  D. Kraitchman,et al.  Right ventricular regional function using MR tagging: Normals versus chronic pulmonary hypertension , 1998, Magnetic resonance in medicine.

[81]  Elliot R. McVeigh,et al.  Quantitative Tagged Magnetic Resonance Imaging of the Normal Human Left Ventricle , 2000, Topics in magnetic resonance imaging : TMRI.

[82]  P. Most,et al.  Prediction of functional recovery by cardiac magnetic resonance feature tracking imaging in first time ST-elevation myocardial infarction. Comparison to infarct size and transmurality by late gadolinium enhancement. , 2015, International journal of cardiology.

[83]  M. Gutberlet,et al.  Myocardial deformation parameters predict outcome in patients with repaired tetralogy of Fallot , 2015, Heart.

[84]  F. Lai,et al.  Comparison of global myocardial strain assessed by cardiovascular magnetic resonance tagging and feature tracking to infarct size at predicting remodelling following STEMI , 2017, BMC Cardiovascular Disorders.