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Updated: Jul 14, 2026

Transthoracic Echocardiography in Mice
Published on: May 28, 2010
ECG-gated, mechanical and electromechanical wave imaging of cardiovascular tissues in vivo
Mathieu Pernot1, Kana Fujikura, Simon D Fung-Kee-Fung
1Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
Insights
This study introduces a high-frame-rate ultrasound method to image rapid heart tissue motion, crucial for diagnosing cardiovascular diseases. The technique captures transient events missed by conventional systems, enabling detailed analysis of cardiac mechanics.
Area of Science:
- Biomedical Engineering
- Cardiovascular Imaging
- Ultrasound Technology
Background:
- Cardiac cycle involves complex, rapid tissue motions often missed by conventional imaging due to limited temporal resolution.
- Transient events like valve dynamics and electrical conduction generate motion on the millisecond timescale.
- Accurate imaging of these rapid motions is vital for understanding cardiovascular function and disease.
Purpose of the Study:
- To develop and demonstrate a novel ultrasound imaging method for capturing rapid transient motion in cardiovascular tissues.
- To assess the feasibility of this technique in vivo for analyzing myocardial and arterial dynamics.
- To explore the potential of this method for quantitative assessment of tissue properties and early disease diagnosis.
Main Methods:
- Utilized high-frame-rate ultrasound (up to 8000 fps) synchronized with electrocardiogram (ECG) signals for 2D image acquisition.
- Applied the technique to image transient mechanical waves in the myocardium of anesthetized mice.
- Also imaged the abdominal aorta to assess pulse wave propagation and derive vessel wall properties.
Main Results:
- Successfully imaged the propagation of transient mechanical waves in the myocardium with velocities ranging from 0.44 m/s to 5 m/s.
- Observed pulse wave propagation in the abdominal aorta and calculated the Young's modulus of the vessel wall.
- Demonstrated in vivo feasibility in mice, validating the technique's capability to capture rapid cardiovascular dynamics.
Conclusions:
- The high-frame-rate ultrasound method effectively images rapid transient motions in cardiovascular tissues.
- This technique holds potential for mapping myocardial and arterial stiffness, aiding in the early diagnosis of cardiovascular diseases.
- Further research may establish this method as a valuable tool in clinical cardiovascular assessment.
Abstract:
In simplistic terms, the motion of the heart can be summarized as an active contraction and passive relaxation of the myocardium. However, the local motion of cardiovascular tissues over the course of an entire cardiac cycle results from various transient events such as the valves closing/opening, sudden changes in blood pressure and electrical conduction of the myocardium. The transient motion generated by most of these events occurs within a very short time (on the order of 1 ms) and cannot be imaged correctly with conventional imaging systems, due to their limited temporal resolution. In this paper, we propose a method for imaging this rapid transient motion of tissues in cardiovascular applications. Our method is based on imaging tissues with ultrasound at high frame rates (up to 8000 fps) by synchronizing the two-dimensional (2D) image acquisition on the electrocardiogram (ECG) signals. In vivo feasibility is demonstrated in anesthetized mice. The propagation of several transient mechanical waves was imaged in different regions of the myocardium and the wave phase velocities were found to be between 0.44 m/s and 5 m/s. These waves may be generated by either a purely mechanical effects or through electromechanical coupling in the myocardium depending on the phase of the cardiac cycle, in which they occur. The abdominal aorta was also imaged using the same technique and the propagation of a mechanical pulse wave was imaged. The pulse wave velocity was measured and the Young's modulus of the vessel wall was derived based on the Moens-Korteweg equation. This method could potentially be used for mapping the stiffness of the myocardium and the artery walls and may lead to the early diagnosis of cardiovascular diseases.
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