Literature DB >> 19863987

Noninvasive electromechanical wave imaging and conduction-relevant velocity estimation in vivo.

Elisa E Konofagou1, Jianwen Luo, Deepak Saluja, Daniel O Cervantes, James Coromilas, Kana Fujikura.   

Abstract

Electromechanical wave imaging is a novel technique for the noninvasive mapping of conduction waves in the left ventricle through the combination of ECG gating, high frame rate ultrasound imaging and radio-frequency (RF)-based displacement estimation techniques. In this paper, we describe this new technique and characterize the origin and velocity of the wave under distinct pacing schemes. First, in vivo imaging (30 MHz) was performed on anesthetized, wild-type mice (n=12) at high frame rates in order to take advantage of the transient electromechanical coupling occurring in the myocardium. The RF signal acquisition in a long-axis echocardiographic view was gated between consecutive R-wave peaks of the mouse electrocardiogram (ECG) and yielded an ultra-high RF frame rate of 8000 frames/s (fps). The ultrasound RF signals in each frame were digitized at 160 MHz. Axial, frame-to-frame displacements were estimated using 1D cross-correlation (window size of 240 microm, overlap of 90%). Three pacing protocols were sequentially applied in each mouse: (1) sinus rhythm (SR), (2) right-atrial (RA) pacing and (3) right-ventricular (RV) pacing. Pacing was performed using an eight-electrode catheter placed into the right side of the heart with the capability of pacing from any adjacent bipole. During a cardiac cycle, several waves were depicted on the electromechanical wave images that propagated transmurally and/or from base to apex, or apex to base, depending on the type of pacing and the cardiac phase. Through comparison between the ciné-loops and their corresponding ECG obtained at different pacing protocols, we were able to identify and separate the electrically induced, or contraction, waves from the hemodynamic (or, blood-wall coupling) waves. In all cases, the contraction wave was best observed along the posterior wall starting at the S-wave of the ECG, which occurs after Purkinje fiber, and during myocardial, activation. The contraction wave was identified based on the fact that it changed direction only when the pacing origin changed, i.e., it propagated from the apex to the base at SR and RA pacing and from base to apex at RV pacing. This reversal in the wave propagation direction was found to be consistent in all mice scanned and the wave velocity values fell within the previously reported conduction wave range with statistically significant differences between SR/RA pacing (0.85+/-0.22 m/s and 0.84+/-0.20 m/s, respectively) and RV pacing (-0.52+/-0.31 m/s; p<0.0001). This study thus shows that imaging the electromechanical function of the heart noninvasively is feasible. It may therefore constitute a unique noninvasive method for conduction wave mapping of the entire left ventricle. Such a technology can be extended to 3D mapping and/or used for early detection of dyssynchrony, arrhythmias, left-bundle branch block, or other conduction abnormalities as well as diagnosis and treatment thereof.

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Mesh:

Year:  2009        PMID: 19863987      PMCID: PMC4005418          DOI: 10.1016/j.ultras.2009.09.026

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  23 in total

Review 1.  Imaging to differentiate between ischemic and nonischemic cardiomyopathy.

Authors:  Jeroen J Bax; Don Poldermans; Joanne D Schuijf; Arthur J H A Scholte; Abdou Elhendy; Ernst E van der Wall
Journal:  Heart Fail Clin       Date:  2006-04       Impact factor: 3.179

2.  ECG-gated, mechanical and electromechanical wave imaging of cardiovascular tissues in vivo.

Authors:  Mathieu Pernot; Kana Fujikura; Simon D Fung-Kee-Fung; Elisa E Konofagou
Journal:  Ultrasound Med Biol       Date:  2007-05-15       Impact factor: 2.998

3.  A composite high-frame-rate system for clinical cardiovascular imaging.

Authors:  Shougang Wang; Wei-Ning Lee; Jean Provost; Jianwen Luo; Elisa E Konofagou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-10       Impact factor: 2.725

4.  A new elastographic method for estimation and imaging of lateral displacements, lateral strains, corrected axial strains and Poisson's ratios in tissues.

Authors:  E Konofagou; J Ophir
Journal:  Ultrasound Med Biol       Date:  1998-10       Impact factor: 2.998

5.  Voltage-sensitive dye mapping of activation and conduction in adult mouse hearts.

Authors:  A Nygren; R B Clark; D D Belke; C Kondo; W R Giles; F X Witkowski
Journal:  Ann Biomed Eng       Date:  2000-08       Impact factor: 3.934

6.  Action potential characteristics and arrhythmogenic properties of the cardiac conduction system of the murine heart.

Authors:  J M Anumonwo; Y N Tallini; F J Vetter; J Jalife
Journal:  Circ Res       Date:  2001-08-17       Impact factor: 17.367

7.  Myocardial elastography at both high temporal and spatial resolution for the detection of infarcts.

Authors:  Jianwen Luo; Kana Fujikura; Shunichi Homma; Elisa E Konofagou
Journal:  Ultrasound Med Biol       Date:  2007-06-13       Impact factor: 2.998

8.  Determination of human ventricular repolarization by noncontact mapping: validation with monophasic action potential recordings.

Authors:  Arthur M Yue; John R Paisey; Steve Robinson; Tim R Betts; Paul R Roberts; John M Morgan
Journal:  Circulation       Date:  2004-09-07       Impact factor: 29.690

9.  High-frame rate, full-view myocardial elastography with automated contour tracking in murine left ventricles in vivo.

Authors:  Jianwen Luo; Elisa E Konofagou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-01       Impact factor: 2.725

10.  Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia.

Authors:  Charulatha Ramanathan; Raja N Ghanem; Ping Jia; Kyungmoo Ryu; Yoram Rudy
Journal:  Nat Med       Date:  2004-03-14       Impact factor: 53.440

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  13 in total

1.  Reproducibility and Angle Independence of Electromechanical Wave Imaging for the Measurement of Electromechanical Activation during Sinus Rhythm in Healthy Humans.

Authors:  Lea Melki; Alexandre Costet; Elisa E Konofagou
Journal:  Ultrasound Med Biol       Date:  2017-08-01       Impact factor: 2.998

2.  AN OVERVIEW OF ELASTOGRAPHY - AN EMERGING BRANCH OF MEDICAL IMAGING.

Authors:  Armen Sarvazyan; Timothy J Hall; Matthew W Urban; Mostafa Fatemi; Salavat R Aglyamov; Brian S Garra
Journal:  Curr Med Imaging Rev       Date:  2011-11

3.  Electromechanical wave imaging for noninvasive mapping of the 3D electrical activation sequence in canines and humans in vivo.

Authors:  Elisa E Konofagou; Jean Provost
Journal:  J Biomech       Date:  2012-01-26       Impact factor: 2.712

4.  Mapping of cardiac electrical activation with electromechanical wave imaging: an in silico-in vivo reciprocity study.

Authors:  Jean Provost; Viatcheslav Gurev; Natalia Trayanova; Elisa E Konofagou
Journal:  Heart Rhythm       Date:  2010-12-23       Impact factor: 6.343

5.  Non-invasive Characterization of Focal Arrhythmia with Electromechanical Wave Imaging in Vivo.

Authors:  Alexandre Costet; Elaine Wan; Lea Melki; Ethan Bunting; Julien Grondin; Hasan Garan; Elisa Konofagou
Journal:  Ultrasound Med Biol       Date:  2018-08-06       Impact factor: 2.998

6.  Single-heartbeat electromechanical wave imaging with optimal strain estimation using temporally unequispaced acquisition sequences.

Authors:  Jean Provost; Stéphane Thiébaut; Jianwen Luo; Elisa E Konofagou
Journal:  Phys Med Biol       Date:  2012-02-01       Impact factor: 3.609

7.  On Lamb and Rayleigh wave convergence in viscoelastic tissues.

Authors:  Ivan Z Nenadic; Matthew W Urban; Sara Aristizabal; Scott A Mitchell; Tye C Humphrey; James F Greenleaf
Journal:  Phys Med Biol       Date:  2011-10-21       Impact factor: 3.609

8.  Lamb wave dispersion ultrasound vibrometry (LDUV) method for quantifying mechanical properties of viscoelastic solids.

Authors:  Ivan Z Nenadic; Matthew W Urban; Scott A Mitchell; James F Greenleaf
Journal:  Phys Med Biol       Date:  2011-03-14       Impact factor: 3.609

9.  Imaging of wall motion coupled with blood flow velocity in the heart and vessels in vivo: a feasibility study.

Authors:  Jianwen Luo; Elisa E Konofagou
Journal:  Ultrasound Med Biol       Date:  2011-05-05       Impact factor: 2.998

10.  In Vivo Open- and Closed-chest Measurements of Left-Ventricular Myocardial Viscoelasticity using Lamb wave Dispersion Ultrasound Vibrometry (LDUV): A Feasibility Study.

Authors:  Ivan Z Nenadic; Matthew W Urban; Cristina Pislaru; Daniel Escobar; Luiz Vasconcelos; James F Greenleaf
Journal:  Biomed Phys Eng Express       Date:  2018-04-30
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