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Tourni M, Weber R, Biviano A, Konofagou E. Long-term atrial arrhythmia characterization and treatment efficacy evaluation using non-invasive echocardiography-based electromechanical cycle length mapping: a case series. Eur Heart J Case Rep 2024; 8:ytae303. [PMID: 39104515 PMCID: PMC11298898 DOI: 10.1093/ehjcr/ytae303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/01/2024] [Accepted: 06/21/2024] [Indexed: 08/07/2024]
Abstract
Background Atrial fibrillation (AF) is a prevalent cardiac condition characterized by irregular heart rhythm. Conventional non-invasive diagnostic techniques, while useful, have limitations in providing comprehensive information for treatment planning. To address this gap, electromechanical cycle length mapping (ECLM), a non-invasive echocardiography-based technique, has emerged as a promising approach. Electromechanical cycle length mapping offers quantitative and spatially specific insights into atrial electromechanical activation rate mapping, thereby enhancing our understanding of arrhythmia disease progression in AF patients. Case summary In this case series, we present two patient cases demonstrating the potential utility of ECLM in monitoring and evaluating treatment responses in atrial arrhythmia. The 1st case involved a 61-year-old male with persistent AF who underwent multiple procedures, including direct current cardioversion (DCCV) and radiofrequency ablation. Over three different DCCV encounters, pre- and post-procedure ECLM scans were performed, and the results showed the localization and incomplete elimination of arrhythmic triggers post-DCCV, which were used as early indicators of AF recurrence. The 2nd case involved a 71-year-old male with paroxysmal AF who also underwent cardioversion and ablation procedures. Electromechanical cycle length mapping imaging demonstrated a progressive reduction and elimination of arrhythmia triggers after each encounter, resulting in long-term maintenance of sinus rhythm. Discussion The findings from this case series highlight the potential of ECLM as a non-invasive imaging tool for long-term monitoring and evaluating immediate and long-term treatment responses in AF patients. The integration of ECLM with standard echocardiograms holds promise in guiding clinical decisions and improving patient outcomes in managing atrial fibrillation.
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Affiliation(s)
- Melina Tourni
- Ultrasound and Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, 680 West 168th Street, Physicians & Surgeons 14-418, New York, NY, 10032, USA
| | - Rachel Weber
- Ultrasound and Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, 680 West 168th Street, Physicians & Surgeons 14-418, New York, NY, 10032, USA
| | - Angelo Biviano
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, 177 Fort Washington Avenue, Milstein 5-435F, New York, NY, 10032, USA
| | - Elisa Konofagou
- Ultrasound and Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, 680 West 168th Street, Physicians & Surgeons 14-418, New York, NY, 10032, USA
- Department of Radiology, Columbia University Medical Center, 630 West 168 Street, Physicians & Surgeons Box 28, New York, NY, 10032, USA
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Dos Santos DS, Ossenkoppele B, Hopf YM, Soozande M, Noothout E, Vos HJ, Bosch JG, Pertijs MAP, Verweij MD, de Jong N. An Ultrasound Matrix Transducer for High-Frame-Rate 3-D Intra-cardiac Echocardiography. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:285-294. [PMID: 38036310 DOI: 10.1016/j.ultrasmedbio.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 12/02/2023]
Abstract
OBJECTIVE Described here is the development of an ultrasound matrix transducer prototype for high-frame-rate 3-D intra-cardiac echocardiography. METHODS The matrix array consists of 16 × 18 lead zirconate titanate elements with a pitch of 160 µm × 160 µm built on top of an application-specific integrated circuit that generates transmission signals and digitizes the received signals. To reduce the number of cables in the catheter to a feasible number, we implement subarray beamforming and digitization in receive and use a combination of time-division multiplexing and pulse amplitude modulation data transmission, achieving an 18-fold reduction. The proposed imaging scheme employs seven fan-shaped diverging transmit beams operating at a pulse repetition frequency of 7.7 kHz to obtain a high frame rate. The performance of the prototype is characterized, and its functionality is fully verified. RESULTS The transducer exhibits a transmit efficiency of 28 Pa/V at 5 cm per element and a bandwidth of 60% in transmission. In receive, a dynamic range of 80 dB is measured with a minimum detectable pressure of 10 Pa per element. The element yield of the prototype is 98%, indicating the efficacy of the manufacturing process. The transducer is capable of imaging at a frame rate of up to 1000 volumes/s and is intended to cover a volume of 70° × 70° × 10 cm. CONCLUSION These advanced imaging capabilities have the potential to support complex interventional procedures and enable full-volumetric flow, tissue, and electromechanical wave tracking in the heart.
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Affiliation(s)
- Djalma Simões Dos Santos
- Laboratory of Medical Imaging, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
| | - Boudewine Ossenkoppele
- Laboratory of Medical Imaging, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Yannick M Hopf
- Electronic Instrumentation Laboratory, Delft University of Technology, Delft, The Netherlands
| | - Mehdi Soozande
- Department of Biomedical Engineering, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Emile Noothout
- Laboratory of Medical Imaging, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Hendrik J Vos
- Laboratory of Medical Imaging, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands; Department of Biomedical Engineering, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Johan G Bosch
- Department of Biomedical Engineering, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Michiel A P Pertijs
- Electronic Instrumentation Laboratory, Delft University of Technology, Delft, The Netherlands
| | - Martin D Verweij
- Laboratory of Medical Imaging, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands; Department of Biomedical Engineering, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Nico de Jong
- Laboratory of Medical Imaging, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands; Department of Biomedical Engineering, Thoraxcenter, Erasmus Medical Center, Rotterdam, The Netherlands
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Tourni M, Han SJ, Weber R, Kucinski M, Wan EY, Biviano AB, Konofagou EE. Electromechanical Cycle Length Mapping for atrial arrhythmia detection and cardioversion success assessment. Comput Biol Med 2023; 163:107084. [PMID: 37302374 PMCID: PMC10527498 DOI: 10.1016/j.compbiomed.2023.107084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/26/2023] [Accepted: 05/27/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND Direct current cardioversion (DCCV) is an established treatment to acutely convert atrial fibrillation (AF) to normal sinus rhythm. Yet, more than 70% of patients revert to AF shortly thereafter. Electromechanical Cycle Length Mapping (ECLM) is a high framerate, spectral analysis technique shown to non-invasively characterize electromechanical activation in paced canines and re-entrant flutter patients. This study assesses ECLM feasibility to map and quantify atrial arrhythmic electromechanical activation rates and inform on 1-day and 1-month DCCV response. METHODS Forty-five subjects (30 AF; 15 healthy sinus rhythm (SR) controls) underwent transthoracic ECLM in four standard apical 2D echocardiographic views. AF patients were imaged within 1 h pre- and post-DCCV. 3D-rendered atrial ECLM cycle length (CL) maps and spatial CL histograms were generated. CL dispersion and percentage of arrhythmic CLs≤333ms across the entire atrial myocardium were computed transmurally. ECLM results were subsequently used as indicators of DCCV success. RESULTS ECLM successfully confirmed the electrical atrial activation rates in 100% of healthy subjects (R2=0.96). In AF, ECLM maps localized the irregular activation rates pre-DCCV and confirmed successful post-DCCV with immediate reduction or elimination. ECLM metrics successfully distinguished DCCV 1-day and 1-month responders from non-responders, while pre-DCCV ECLM values independently predicted AF recurrence within 1-month post-DCCV. CONCLUSIONS ECLM can characterize electromechanical activation rates in AF, quantify their extent, and identify and predict short- and long-term AF recurrence. ELCM constitutes thus a noninvasive arrhythmia imaging modality that can aid clinicians in simultaneous AF severity quantification, prediction of AF DCCV response, and personalized treatment planning.
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Affiliation(s)
- Melina Tourni
- Depatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA.
| | - Seungyeon Julia Han
- Depatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA
| | - Rachel Weber
- Depatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA
| | - Mary Kucinski
- Depatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA
| | - Elaine Y Wan
- Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, 630 W 168th Street, New York, 10032, NY, USA
| | - Angelo B Biviano
- Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, 630 W 168th Street, New York, 10032, NY, USA
| | - Elisa E Konofagou
- Depatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA; Department of Radiology, Columbia University, 630 W 168th Street, New York, 10032, NY, USA.
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Adenosine and Adenosine Receptors: Advances in Atrial Fibrillation. Biomedicines 2022; 10:biomedicines10112963. [PMID: 36428533 PMCID: PMC9687155 DOI: 10.3390/biomedicines10112963] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/07/2022] [Accepted: 11/14/2022] [Indexed: 11/19/2022] Open
Abstract
Atrial fibrillation (AF) is the most common arrhythmia in the world. Because the key to developing innovative therapies that limit the onset and the progression of AF is to fully understand the underlying molecular mechanisms of AF, the aim of the present narrative review is to report the most recent advances in the potential role of the adenosinergic system in the pathophysiology of AF. After a comprehensive approach describing adenosinergic system signaling and the mechanisms of the initiation and maintenance of AF, we address the interactions of the adenosinergic system's signaling with AF. Indeed, adenosine release can activate four G-coupled membrane receptors, named A1, A2A, A2B and A3. Activation of the A2A receptors can promote the occurrence of delayed depolarization, while activation of the A1 receptors can shorten the action potential's duration and induce the resting membrane's potential hyperpolarization, which promote pulmonary vein firing, stabilize the AF rotors and allow for functional reentry. Moreover, the A2B receptors have been associated with atrial fibrosis homeostasis. Finally, the adenosinergic system can modulate the autonomous nervous system and is associated with AF risk factors. A question remains regarding adenosine release and the adenosine receptors' activation and whether this would be a cause or consequence of AF.
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Soozande M, Ossenkoppele BW, Hopf Y, Pertijs MAP, Verweij MD, de Jong N, Vos HJ, Bosch JG. Imaging Scheme for 3-D High-Frame-Rate Intracardiac Echography: A Simulation Study. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2022; 69:2862-2874. [PMID: 35759589 DOI: 10.1109/tuffc.2022.3186487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Atrial fibrillation (AF) is the most common cardiac arrhythmia and is normally treated by RF ablation. Intracardiac echography (ICE) is widely employed during RF ablation procedures to guide the electrophysiologist in navigating the ablation catheter, although only 2-D probes are currently clinically used. A 3-D ICE catheter would not only improve visualization of the atrium and ablation catheter, but it might also provide the 3-D mapping of the electromechanical wave (EW) propagation pattern, which represents the mechanical response of cardiac tissue to electrical activity. The detection of this EW needs 3-D high-frame-rate imaging, which is generally only realizable in tradeoff with channel count and image quality. In this simulation-based study, we propose a high volume rate imaging scheme for a 3-D ICE probe design that employs 1-D micro-beamforming in the elevation direction. Such a probe can achieve a high frame rate while reducing the channel count sufficiently for realization in a 10-Fr catheter. To suppress the grating-lobe (GL) artifacts associated with micro-beamforming in the elevation direction, a limited number of fan-shaped beams with a wide azimuthal and narrow elevational opening angle are sequentially steered to insonify slices of the region of interest. An angular weighted averaging of reconstructed subvolumes further reduces the GL artifacts. We optimize the transmit beam divergence and central frequency based on the required image quality for EW imaging (EWI). Numerical simulation results show that a set of seven fan-shaped transmission beams can provide a frame rate of 1000 Hz and a sufficient spatial resolution to visualize the EW propagation on a large 3-D surface.
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Robert J, Bessiere F, Cao E, Loyer V, Abell E, Vaillant F, Quesson B, Catheline S, Lafon C. Spectral Analysis of Tissue Displacement for Cardiac Activation Mapping: Ex Vivo Working Heart and In Vivo Study. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2022; 69:942-956. [PMID: 34941506 DOI: 10.1109/tuffc.2021.3137989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Characterizing myocardial activation is of major interest for understanding the underlying mechanism of cardiac arrhythmias. Electromechanical wave imaging (EWI) is an ultrafast ultrasound-based method used to map the propagation of the local contraction triggered by electrical activation of the heart. This study introduces a novel way to characterize cardiac activation based on the time evolution of the instantaneous frequency content of the cardiac tissue displacement curves. The first validation of this method was performed on an ex vivo dataset of 36 acquisitions acquired from two working heart models in paced rhythms. It was shown that the activation mapping described by spectral analysis of interframe displacement is similar to the standard EWI method based on zero-crossing of interframe strain. An average median error of 3.3 ms was found in the ex vivo dataset between the activation maps obtained with the two methods. The feasibility of mapping cardiac activation by EWI was then investigated on two open-chest pigs during sinus and paced rhythms in a pilot trial of cardiac mapping with an intracardiac probe. Seventy-five acquisitions were performed with reasonable stability and analyzed with the novel algorithm to map cardiac contraction propagation in the left ventricle (LV). Sixty-one qualitatively continuous isochrones were successfully computed based on this method. The region of contraction onset was coherently described while pacing in the imaging plane. These findings highlight the potential of implementing EWI acquisition on intracardiac probes and emphasize the benefit of performing short time-frequency analysis of displacement data to characterize cardiac activation in vivo.
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7
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Mohammadi F, Sheikhani A, Razzazi F, Ghorbani Sharif A. Non-invasive localization of the ectopic foci of focal atrial tachycardia by using ECG signal based sparse decomposition algorithm. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.103014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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8
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Andersen MS, Moore C, LeFevre M, Arges K, Friedman DJ, Atwater BD, Kisslo J, Søgaard P, Struijk JJ, von Ramm OT, Schmidt SE. Contractile Fronts In The Interventricular Septum: A Case For High Frame Rate Echocardiographic Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2020; 46:2181-2192. [PMID: 32561068 DOI: 10.1016/j.ultrasmedbio.2020.04.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 04/22/2020] [Accepted: 04/24/2020] [Indexed: 06/11/2023]
Abstract
The real time high frame rate (HFR) 2-dimensional ultrasound system, T5, at Duke University is capable of imaging at up to 1000 images per second for adult cardiac imaging. A method for detecting and visualizing the mechanical contraction fronts using HFR echocardioagraphy-derived Strain Rate Image (SRI) was described in 26 patients. The Tissue Shortening Onset front durations for echocardiographic normal patients were significantly shorter than conduction disorder patients with left bundle branch block (LBBB) with intrinsic conduction and conduction disorder patients without LBBB (non-LBBB) with simulated LBBB (sLBBB). Echocardiographic normal patients had significantly higher correlation coefficients between their SRIs and spatially inverted versions of themselves compared to non-LBBB patients with intrinsic conduction and sLBBB. In conclusion, SRIs could spatially resolve contractile event fronts in patients.
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Affiliation(s)
| | | | | | | | | | | | - Joseph Kisslo
- Duke University Medical Center, Durham, NC 27710, USA
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9
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Grubb CS, Melki L, Wang DY, Peacock J, Dizon J, Iyer V, Sorbera C, Biviano A, Rubin DA, Morrow JP, Saluja D, Tieu A, Nauleau P, Weber R, Chaudhary S, Khurram I, Waase M, Garan H, Konofagou EE, Wan EY. Noninvasive localization of cardiac arrhythmias using electromechanical wave imaging. Sci Transl Med 2020; 12:eaax6111. [PMID: 32213631 PMCID: PMC7234276 DOI: 10.1126/scitranslmed.aax6111] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 02/21/2020] [Indexed: 12/13/2022]
Abstract
Cardiac arrhythmias are a major cause of morbidity and mortality worldwide. The 12-lead electrocardiogram (ECG) is the current noninvasive clinical tool used to diagnose and localize cardiac arrhythmias. However, it has limited accuracy and is subject to operator bias. Here, we present electromechanical wave imaging (EWI), a high-frame rate ultrasound technique that can noninvasively map with high accuracy the electromechanical activation of atrial and ventricular arrhythmias in adult patients. This study evaluates the accuracy of EWI for localization of various arrhythmias in all four chambers of the heart before catheter ablation. Fifty-five patients with an accessory pathway (AP) with Wolff-Parkinson-White (WPW) syndrome, premature ventricular complexes (PVCs), atrial tachycardia (AT), or atrial flutter (AFL) underwent transthoracic EWI and 12-lead ECG. Three-dimensional (3D) rendered EWI isochrones and 12-lead ECG predictions by six electrophysiologists were applied to a standardized segmented cardiac model and subsequently compared to the region of successful ablation on 3D electroanatomical maps generated by invasive catheter mapping. There was significant interobserver variability among 12-lead ECG reads by expert electrophysiologists. EWI correctly predicted 96% of arrhythmia locations as compared with 71% for 12-lead ECG analyses [unadjusted for arrhythmia type: odds ratio (OR), 11.8; 95% confidence interval (CI), 2.2 to 63.2; P = 0.004; adjusted for arrhythmia type: OR, 12.1; 95% CI, 2.3 to 63.2; P = 0.003]. This double-blinded clinical study demonstrates that EWI can localize atrial and ventricular arrhythmias including WPW, PVC, AT, and AFL. EWI when used with ECG may allow for improved treatment for patients with arrhythmias.
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Affiliation(s)
- Christopher S Grubb
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Lea Melki
- Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Daniel Y Wang
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - James Peacock
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Jose Dizon
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Vivek Iyer
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Carmine Sorbera
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Angelo Biviano
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - David A Rubin
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - John P Morrow
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Deepak Saluja
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Andrew Tieu
- Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Pierre Nauleau
- Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Rachel Weber
- Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Salma Chaudhary
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Irfan Khurram
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Marc Waase
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Hasan Garan
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Elisa E Konofagou
- Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA.
- Department of Radiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Elaine Y Wan
- Division of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
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Andersen MV, Moore C, Søgaard P, Friedman D, Atwater BD, Arges K, LeFevre M, Struijk JJ, Kisslo J, Schmidt SE, von Ramm OT. Quantitative Parameters of High-Frame-Rate Strain in Patients with Echocardiographically Normal Function. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:1197-1207. [PMID: 30773380 DOI: 10.1016/j.ultrasmedbio.2018.11.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 10/30/2018] [Accepted: 11/12/2018] [Indexed: 06/09/2023]
Abstract
Recently, we developed a high-frame-rate echocardiographic imaging system capable of acquiring images at rates up to 2500 per second. High imaging rates were used to quantify longitudinal strain parameters in patients with echocardiographically normal function. These data can serve as a baseline for comparing strain parameters in disease states. The derived timing data also reveal the propagation of mechanical events in the left ventricle throughout the cardiac cycle. High-frame-rate echocardiographic images were acquired from 17 patients in the apical four-chamber view using Duke University's phased array ultrasound system, T5. B-Mode images were acquired at 500-1000 images per second by employing 16:1 or 32:1 parallel processing in receive, a scan depth ≤14 cm and an 80° field of view with a 3.5-MegaHertZ (MHz), 96-element linear array. The images were analyzed using a speckle tracking algorithm tailored for high-frame-rate echocardiographic images developed at Aalborg and Duke University. Four specific mechanical events were defined using strain curves from six regions along the myocardial contour of the left ventricle. The strain curves measure the local deformation events of the myocardium and are independent of the overall cardiac motion. We observed statistically significant differences in the temporal sequence among different myocardial segments for the first mechanical event described, myocardial tissue shortening onset (p < 0.01). We found that the spatial origin of tissue shortening was located near the middle of the interventricular septum in patients with echocardiographically normal function. The quantitative parameters defined here, based on high-speed strain measurements in patients with echocardiographically normal function, can serve as a means of assessing degree of contractile abnormality in the myocardium and enable the identification of contraction propagation. The relative timing pattern among specific events with respect to the Q wave may become an important new metric in assessing cardiac function and may, in turn, improve diagnosis and prognosis.
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Affiliation(s)
| | | | - Peter Søgaard
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | | | | | | | | | | | - Joseph Kisslo
- Duke University Hospital, Durham, North Carolina, USA
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11
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Costet A, Wan E, Melki L, Bunting E, Grondin J, Garan H, Konofagou E. Non-invasive Characterization of Focal Arrhythmia with Electromechanical Wave Imaging in Vivo. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:2241-2249. [PMID: 30093340 PMCID: PMC6163072 DOI: 10.1016/j.ultrasmedbio.2018.06.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2017] [Revised: 06/05/2018] [Accepted: 06/11/2018] [Indexed: 06/02/2023]
Abstract
There is currently no established method for the non-invasive characterization of arrhythmia and differentiation between endocardial and epicardial triggers at the point of care. Electromechanical wave imaging (EWI) is a novel ultrasound-based imaging technique based on time-domain transient strain estimation that can map and characterize electromechanical activation in the heart in vivo. The objectives of this initial feasibility study were to determine that EWI is capable of differentiating between endocardial and epicardial sources of focal rhythm and, as a proof-of-concept, that EWI could characterize focal arrhythmia in one patient with premature ventricular contractions (PVCs) before radiofrequency (RF) ablation treatment. First, validation of EWI for differentiation of surface of origin was performed in seven (n = 7) adult dogs using four epicardial and four endocardial pacing protocols. Second, one (n = 1) adult patient diagnosed with PVC was imaged with EWI before the scheduled RF ablation procedure, and EWI results were compared with mapping procedure results. In dogs, EWI was capable of detecting whether pacing was of endocardial or epicardial origin in six of seven cases (86% success rate). In the PVC patient, EWI correctly identified both regions and surface of origin, as confirmed by results from the electrical mapping obtained from the RF ablation procedure. These results reveal that EWI can map the electromechanical activation across the myocardium and indicate that EWI could serve as a valuable pre-treatment planning tool in the clinic.
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Affiliation(s)
- Alexandre Costet
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Elaine Wan
- Department of Medicine-Cardiology, Columbia University, New York, New York, USA
| | - Lea Melki
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Ethan Bunting
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Julien Grondin
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Hasan Garan
- Department of Medicine-Cardiology, Columbia University, New York, New York, USA
| | - Elisa Konofagou
- Department of Biomedical Engineering, Columbia University, New York, New York, USA; Department of Radiology, Columbia University, New York, New York, USA.
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12
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Three-dimensional mapping in the electrophysiological laboratory. Arch Cardiovasc Dis 2018; 111:456-464. [DOI: 10.1016/j.acvd.2018.03.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 03/25/2018] [Accepted: 03/27/2018] [Indexed: 11/22/2022]
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13
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Nauleau P, Melki L, Wan E, Konofagou E. Technical Note: A 3-D rendering algorithm for electromechanical wave imaging of a beating heart. Med Phys 2017. [PMID: 28626939 DOI: 10.1002/mp.12411] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
PURPOSE Arrhythmias can be treated by ablating the heart tissue in the regions of abnormal contraction. The current clinical standard provides electroanatomic 3-D maps to visualize the electrical activation and locate the arrhythmogenic sources. However, the procedure is time-consuming and invasive. Electromechanical wave imaging is an ultrasound-based noninvasive technique that can provide 2-D maps of the electromechanical activation of the heart. In order to fully visualize the complex 3-D pattern of activation, several 2-D views are acquired and processed separately. They are then manually registered with a 3-D rendering software to generate a pseudo-3-D map. However, this last step is operator-dependent and time-consuming. METHODS This paper presents a method to generate a full 3-D map of the electromechanical activation using multiple 2-D images. Two canine models were considered to illustrate the method: one in normal sinus rhythm and one paced from the lateral region of the heart. Four standard echographic views of each canine heart were acquired. Electromechanical wave imaging was applied to generate four 2-D activation maps of the left ventricle. The radial positions and activation timings of the walls were automatically extracted from those maps. In each slice, from apex to base, these values were interpolated around the circumference to generate a full 3-D map. RESULTS In both cases, a 3-D activation map and a cine-loop of the propagation of the electromechanical wave were automatically generated. The 3-D map showing the electromechanical activation timings overlaid on realistic anatomy assists with the visualization of the sources of earlier activation (which are potential arrhythmogenic sources). The earliest sources of activation corresponded to the expected ones: septum for the normal rhythm and lateral for the pacing case. CONCLUSIONS The proposed technique provides, automatically, a 3-D electromechanical activation map with a realistic anatomy. This represents a step towards a noninvasive tool to efficiently localize arrhythmias in 3-D.
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Affiliation(s)
- Pierre Nauleau
- Department of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY, 10027, USA
| | - Lea Melki
- Department of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY, 10027, USA
| | - Elaine Wan
- Department of Medicine - Division of Cardiology, College of Physicians and Surgeons, Columbia University, 161 Fort Washington Avenue, New York, NY, 10032, USA
| | - Elisa Konofagou
- Department of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY, 10027, USA.,Department of Radiology, Columbia University, 622 W 168th Street, New York, NY, 10032, USA
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Costet A, Wan E, Bunting E, Grondin J, Garan H, Konofagou E. Electromechanical wave imaging (EWI) validation in all four cardiac chambers with 3D electroanatomic mapping in canines in vivo. Phys Med Biol 2016; 61:8105-8119. [PMID: 27782003 DOI: 10.1088/0031-9155/61/22/8105] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Characterization and mapping of arrhythmias is currently performed through invasive insertion and manipulation of cardiac catheters. Electromechanical wave imaging (EWI) is a non-invasive ultrasound-based imaging technique, which tracks the electromechanical activation that immediately follows electrical activation. Electrical and electromechanical activations were previously found to be linearly correlated in the left ventricle, but the relationship has not yet been investigated in the three other chambers of the heart. The objective of this study was to investigate the relationship between electrical and electromechanical activations and validate EWI in all four chambers of the heart with conventional 3D electroanatomical mapping. Six (n = 6) normal adult canines were used in this study. The electrical activation sequence was mapped in all four chambers of the heart, both endocardially and epicardially using the St Jude's EnSite 3D mapping system (St. Jude Medical, Secaucus, NJ). EWI acquisitions were performed in all four chambers during normal sinus rhythm, and during pacing in the left ventricle. Isochrones of the electromechanical activation were generated from standard echocardiographic imaging views. Electrical and electromechanical activation maps were co-registered and compared, and electrical and electromechanical activation times were plotted against each other and linear regression was performed for each pair of activation maps. Electromechanical and electrical activations were found to be directly correlated with slopes of the correlation ranging from 0.77 to 1.83, electromechanical delays between 9 and 58 ms and R 2 values from 0.71 to 0.92. The linear correlation between electrical and electromechanical activations and the agreement between the activation maps indicate that the electromechanical activation follows the pattern of propagation of the electrical activation. This suggests that EWI may be used as a novel non-invasive method to accurately characterize and localize sources of arrhythmias.
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Affiliation(s)
- Alexandre Costet
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
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Grondin J, Costet A, Bunting E, Gambhir A, Garan H, Wan E, Konofagou EE. Validation of electromechanical wave imaging in a canine model during pacing and sinus rhythm. Heart Rhythm 2016; 13:2221-2227. [PMID: 27498277 DOI: 10.1016/j.hrthm.2016.08.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Indexed: 10/21/2022]
Abstract
BACKGROUND Accurate determination of regional areas of arrhythmic triggers is of key interest to diagnose arrhythmias and optimize their treatment. Electromechanical wave imaging (EWI) is an ultrasound technique that can image the transient deformation in the myocardium after electrical activation and therefore has the potential to detect and characterize location of triggers of arrhythmias. OBJECTIVES The objectives of this study were to investigate the relationship between the electromechanical and the electrical activation of the left ventricular (LV) endocardial surface during epicardial and endocardial pacing and during sinus rhythm as well as to map the distribution of electromechanical delays. METHODS In this study, 6 canines were investigated. Two external electrodes were sutured onto the epicardial surface of the LV. A 64-electrode basket catheter was inserted through the apex of the LV. Ultrasound channel data were acquired at 2000 frames/s during epicardial and endocardial pacing and during sinus rhythm. Electromechanical and electrical activation maps were synchronously obtained from the ultrasound data and the basket catheter, respectively. RESULTS The mean correlation coefficient between electromechanical and electrical activation was 0.81 for epicardial anterior pacing, 0.79 for epicardial lateral pacing, 0.69 for endocardial pacing, and 0.56 for sinus rhythm. CONCLUSION The electromechanical activation sequence determined by EWI follows the electrical activation sequence and more specifically in the case of pacing. This finding is of key interest in the role that EWI can play in the detection of the anatomical source of arrhythmias and the planning of pacing therapies such as cardiovascular resynchronization therapy.
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Affiliation(s)
| | | | | | - Alok Gambhir
- Department of Medicine, College of Physicians and Surgeons
| | - Hasan Garan
- Department of Medicine, College of Physicians and Surgeons
| | - Elaine Wan
- Department of Medicine, College of Physicians and Surgeons
| | - Elisa E Konofagou
- Department of Biomedical Engineering; Department of Radiology, Columbia University, New York, New York.
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Ciaccio EJ. Honored papers 2015. Comput Biol Med 2016. [DOI: 10.1016/j.compbiomed.2016.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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