Open Access
20 December 2021 Electromagnetic acoustic imaging methods: resolution, signal-to-noise, and image contrast in phantoms
Jane F. Emerson, David B. Chang, Stuart McNaughton, Ellen M. Emerson, Stephen A. Cerwin
Author Affiliations +
Abstract

Purpose: Electromagnetic acoustic imaging (EMAI) is a hybrid imaging technique using radio-frequency irradiation to induce ultrasound (US), providing an US image in which spatial conductivity differences provide image contrast. The method is potentially clinically important in that the added diagnostic parameter has been shown to be useful in cancer detection and vascular space delineation.

Approach: We report the development of coil configurations and imaging processing techniques designed to address the low signal-to-noise of EMAI and demonstrate achievable resolution and contrast in phantoms along with EMAI signals in excised animal tissue. Experiment results are compared with theoretical calculations.

Results: EMAI signal intensities depend on the square of the ampere-turns in the coil radio frequency coil as predicted theoretically. Resolution is shown to be comparable to conventional US imaging with contrast and signal intensity depending on source conductivity. Optimizing signal-to-noise depends on coil design, orientation of the electromagnetic fields, and coherent processing.

Conclusions: Two-dimensional EMAI images are shown to have the expected resolution of conventional US with image contrast dependent on conductivity. Achievable signal-to-noise is sufficient to form potentially clinically useful images.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Jane F. Emerson, David B. Chang, Stuart McNaughton, Ellen M. Emerson, and Stephen A. Cerwin "Electromagnetic acoustic imaging methods: resolution, signal-to-noise, and image contrast in phantoms," Journal of Medical Imaging 8(6), 067001 (20 December 2021). https://doi.org/10.1117/1.JMI.8.6.067001
Received: 8 July 2021; Accepted: 29 November 2021; Published: 20 December 2021
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KEYWORDS
Signal to noise ratio

Image resolution

Acoustics

Electromagnetism

Signal processing

Tissues

Transducers

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