In vivo acoustoelectric imaging for high-resolution visualization of
				cardiac electric spatiotemporal dynamics

Alvarez, Alexander; Preston, Chet; Trujillo, Teodoro; Wilhite, Cameron; Burton, Alex; Vohnout, Sonia; Witte, Russell S.

doi:10.1364/ao.410172

Cited by 13 publications

(4 citation statements)

References 21 publications

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“…Wang et al then demonstrated the AEI of a time-varying 3D current field based on simulation and phantom experiments (Wang et al, 2011;Wang and Witte, 2014). Recent studies performed AEI in rat, rabbit, and swine hearts to effectively localize the current density distribution (Qin et al, 2015;Berthon et al, 2019;Alvarez et al, 2020). In addition, some works have made a progress in improving AEI performance, such as sensitivity, spatial resolution, and signal-tonoise ratio (Qin et al, 2012;Wang et al, 2016).…”

Section: Related Workmentioning

confidence: 99%

Acoustoelectric brain imaging with different conductivities and acoustic distributions

Zhou,

Song,

Song

et al. 2023

Front. Physiol.

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Objective: Acoustoelectric brain imaging (AEBI) is a promising imaging method for mapping brain biological current densities with high spatiotemporal resolution. Currently, it is still challenging to achieve human AEBI with an unclear acoustoelectric (AE) signal response of medium characteristics, particularly in conductivity and acoustic distribution. This study introduces different conductivities and acoustic distributions into the AEBI experiment, and clarifies the response interaction between medium characteristics and AEBI performance to address these key challenges.Approach: AEBI with different conductivities is explored by the imaging experiment, potential measurement, and simulation on a pig’s fat, muscle, and brain tissue. AEBI with different acoustic distributions is evaluated on the imaging experiment and acoustic field measurement through a deep and surface transmitting model built on a human skullcap and pig brain tissue.Main results: The results show that conductivity is not only inversely proportional to the AE signal amplitude but also leads to a higher AEBI spatial resolution as it increases. In addition, the current source and sulcus can be located simultaneously with a strong AE signal intensity. The transcranial focal zone enlargement, pressure attenuation in the deep-transmitting model, and ultrasound echo enhancement in the surface-transmitting model cause a reduced spatial resolution, FFT-SNR, and timing correlation of AEBI. Under the comprehensive effect of conductivity and acoustics, AEBI with skull finally shows reduced imaging performance for both models compared with no-skull AEBI. On the contrary, the AE signal amplitude decreases in the deep-transmitting model and increases in the surface-transmitting model.Significance: This study reveals the response interaction between medium characteristics and AEBI performance, and makes an essential step toward developing AEBI as a practical neuroimaging technique.

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Section: Related Workmentioning

confidence: 99%

Acoustoelectric brain imaging with different conductivities and acoustic distributions

Zhou,

Song,

Song

et al. 2023

Front. Physiol.

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“…In addition, he used UCSDI for the first time to map the anatomical potential conduction of the living rabbit heart, which could provide the spatiotemporal distribution of cardiac activation waves (Olafsson et al, 2009 ). Alvarez later demonstrated current source imaging in vivo for the first time in a swine model (Alvarez et al, 2019 , 2020a , b ). Wang also used a pair of electrodes to generate alternating current distributions in a special imaging chamber filled with 0.9% NaCl solution, and obtained time-lapse volume movies of the alternating current distribution ( Figure 5 ) (Wang et al, 2011 ).…”

Section: Research Progressmentioning

confidence: 99%

Biological current source imaging method based on acoustoelectric effect: A systematic review

Zhang

Liu

et al. 2022

Front. Neurosci.

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Neuroimaging can help reveal the spatial and temporal diversity of neural activity, which is of utmost importance for understanding the brain. However, conventional non-invasive neuroimaging methods do not have the advantage of high temporal and spatial resolution, which greatly hinders clinical and basic research. The acoustoelectric (AE) effect is a fundamental physical phenomenon based on the change of dielectric conductivity that has recently received much attention in the field of biomedical imaging. Based on the AE effect, a new imaging method for the biological current source has been proposed, combining the advantages of high temporal resolution of electrical measurements and high spatial resolution of focused ultrasound. This paper first describes the mechanism of the AE effect and the principle of the current source imaging method based on the AE effect. The second part summarizes the research progress of this current source imaging method in brain neurons, guided brain therapy, and heart. Finally, we discuss the problems and future directions of this biological current source imaging method. This review explores the relevant research literature and provides an informative reference for this potential non-invasive neuroimaging method.

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“…This small elastic deformation induces change in resistivity. The mechanism and methods of AEBI have been fully validated through experiments in previous research [13][14][15][16][17][18]. Recently, researchers have advanced AEBI in different ways and made good progress.…”

Section: Introductionmentioning

confidence: 96%

In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents

Zhou,

Song,

et al. 2024

IEEE Trans. Neural Syst. Rehabil. Eng.

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Objective. Deep brain stimulation (DBS) is an effective treatment for neurologic disease and its clinical effect is highly dependent on the DBS leads localization and current stimulating state. However, standard human brain imaging modalities could not provide direct feedback on DBS currents spatial distribution and dynamic changes. Acoustoelectric brain imaging (AEBI) is an emerging neuroimaging method that can directly map current density distribution. Here, we investigate in vivo AEBI of different DBS currents to explore the potential of DBS visualization using AEBI. Method. According to the typical DBS stimulus parameters, four types of DBS currents, including time pattern, waveform, frequency, and amplitude are designed to implement AEBI experiments in living rat brains. Based on acoustoelectric (AE) signals, the AEBI images of each type DBS current are explored and the resolution is quantitatively analyzed for performance evaluation. Furtherly, the AE signals are decoded to characterize DBS currents from multiple perspectives, including time-frequency domain, spatial distribution, and amplitude comparation. Results. The results show that in vivo transcranial AEBI can accurately locate the DBS contact position with a millimeter spatial resolution (<2 mm) and millisecond temporal resolution (<10 ms). Besides, the decoded AE signal at DBS contact position is capable of describing the corresponding DBS current characteristics and identifying current pattern changes. Conclusion. This study first validates that AEBI can localize in vivo DBS contact and characterize different DBS currents. Significance. AEBI is expected to develop into a noninvasive DBS real-time monitoring technology with high spatiotemporal resolution.

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In vivo acoustoelectric imaging for high-resolution visualization of cardiac electric spatiotemporal dynamics

Cited by 13 publications

References 21 publications

Acoustoelectric brain imaging with different conductivities and acoustic distributions

Acoustoelectric brain imaging with different conductivities and acoustic distributions

Biological current source imaging method based on acoustoelectric effect: A systematic review

In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents

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