Cardiac activation mapping using ultrasound current source density imaging (UCSDI)

We describe the first mapping of biological current in a live heart using ultrasound current source density imaging (UCSDI). Ablation procedures that treat severe heart arrhythmias require detailed maps of the cardiac activation wave. The conventional procedure is time-consuming and limited by its poor spatial resolution (5-10 mm). UCSDI can potentially improve on existing mapping procedures. It is based on a pressure-induced change in resistivity known as the acousto-electric (AE) effect, which is spatially confined to the ultrasound focus. Data from 2 experiments are presented. A 540 kHz ultrasonic transducer (f/# = 1, focal length = 90 mm, pulse repetition frequency = 1600 Hz) was scanned over an isolated rabbit heart perfused with an excitation-contraction decoupler to reduce motion significantly while retaining electric function. Tungsten electrodes inserted in the left ventricle recorded simultaneously the AE signal and the low-frequency electrocardiogram (ECG). UCSDI displayed spatial and temporal patterns consistent with the spreading activation wave. The propagation velocity estimated from UCSDI was 0.25 plusmn 0.05 mm/ms, comparable to the values obtained with the ECG signals. The maximum AE signal-to-noise ratio after filtering was 18 dB, with an equivalent detection threshold of 0.1 mA/ cm2. This study demonstrates that UCSDI is a potentially powerful technique for mapping current flow and biopotentialsin the heart.

[1]  D. Durrer,et al.  Total Excitation of the Isolated Human Heart , 1970, Circulation.

[2]  David Schwartzman,et al.  On the accuracy of CartoMerge for guiding posterior left atrial ablation in man. , 2007, Heart rhythm.

[3]  Robert Plonsey,et al.  Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields , 1995 .

[4]  M. O'Donnell,et al.  1A-4 Acoustoelectric Detection of Current Flow in a Neural Recording Chamber , 2006, 2006 IEEE Ultrasonics Symposium.

[5]  P. Mcgeer,et al.  Free radicals upregulate complement expression in rabbit isolated heart. , 2000, American journal of physiology. Heart and circulatory physiology.

[6]  Godfrey L. Smith,et al.  The electrophysiological and mechanical effects of 2,3‐butane‐dione monoxime and cytochalasin‐D in the Langendorff perfused rabbit heart , 2004, Experimental physiology.

[7]  J. Goldberger,et al.  Atrial Fibrillation Ablation: Location, Location, Location , 2006 .

[8]  Fred Kusumoto,et al.  Survey of Physician Experience, Trends and Outcomes with Atrial Fibrillation Ablation , 2005, Journal of Interventional Cardiac Electrophysiology.

[9]  Sheng-Wen Huang,et al.  Inexpensive Acoustoelectric Hydrophone For Mapping High Intensity Ultrasonic Fields. , 2008, Journal of applied physics.

[10]  Daniel Steven,et al.  Catheter motion during atrial ablation due to the beating heart and respiration: impact on accuracy and spatial referencing in three-dimensional mapping. , 2007, Heart rhythm.

[11]  Jaakko Malmivuo,et al.  Source-Field Models , 1995 .

[12]  Alexander A. Oraevsky,et al.  Photons Plus Ultrasound: Imaging and Sensing , 2010 .

[13]  J. Jossinet,et al.  The phenomenology of acousto-electric interaction signals in aqueous solutions of electrolytes , 1998 .

[14]  Sheng-Wen Huang,et al.  Ultrasound Current Source Density Imaging , 2008, IEEE Transactions on Biomedical Engineering.

[15]  M. O’Donnell,et al.  11B-6 Detection of Electrical Current in a Live Rabbit Heart using Ultrasound , 2007, 2007 IEEE Ultrasonics Symposium Proceedings.

[16]  Matthew O'Donnell,et al.  Measurement of a 2D electric dipole field using the acousto-electric effect , 2007, SPIE Medical Imaging.

[17]  Matthew O'Donnell,et al.  Imaging current flow in lobster nerve cord using the acoustoelectric effect , 2007 .

[18]  J. Jossinet,et al.  Impedance Modulation by Pulsed Ultrasound , 1999 .

[19]  F. Greensite Heart Surface Electrocardiographic Inverse Solutions , 2004 .

[20]  M.A. Lubinski,et al.  Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[21]  Lihong V. Wang,et al.  Acousto-electric tomography , 2004, SPIE BiOS.

[22]  Nassir F Marrouche,et al.  Blinded correlation study of three-dimensional electro-anatomical image integration and phased array intra-cardiac echocardiography for left atrial mapping. , 2007, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[23]  J Jossinet,et al.  Experimental measurement of the acousto-electric interaction signal in saline solution. , 2000, Ultrasonics.

[24]  K. R. Raghavan,et al.  Lateral displacement estimation using tissue incompressibility , 1996, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[25]  Bin He,et al.  Noninvasive reconstruction of three-dimensional ventricular activation sequence from the inverse solution of distributed equivalent current density , 2006, IEEE Transactions on Medical Imaging.

[26]  Matthew O'Donnell,et al.  Electric current mapping using the acousto-electric effect , 2006, SPIE Medical Imaging.

[27]  A. McCulloch,et al.  Model-Based Analysis of Optically Mapped Epicardial Activation Patterns and Conduction Velocity , 2000, Annals of Biomedical Engineering.