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Standing Waves in a Cavity

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A household microwave and lasers are examples of standing electromagnetic waves in a cavity. When two conducting metal plates are placed parallel at the nodal planes, it creates a cavity where standing waves are formed. The cavity between the two planes is analogous to a stretched string held at the points x = 0 and x = L. Here, the distance 'L' between the two planes must be an integer multiple of half of the wavelength. The wavelengths that satisfy this condition are given by:

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RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

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Updated: Feb 25, 2026

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Surface Estimation for Microwave Imaging.

Douglas Kurrant¹, Jeremie Bourqui², Elise Fear³

¹Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada. djkurran@ucalgary.ca.

Sensors (Basel, Switzerland)

|July 30, 2017

Summary

This summary is machine-generated.

This study presents a novel microwave imaging prototype for accurate breast surface estimation using sparse laser and electromagnetic data. The developed algorithm effectively reconstructs breast shape even with noisy, limited measurements.

Keywords:

microwave breast imaging performance metrics radar surface reconstruction

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Clinical Imaging of Microwave Mammography

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Published on: November 14, 2025

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Published on: February 12, 2014

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Published on: September 2, 2016

Area of Science:

Biomedical Engineering
Medical Imaging
Sensor Technology

Background:

Accurate surface estimation is crucial for biomedical imaging and sensing.
Sparse and noisy measurements pose challenges in reconstructing complex shapes like the breast.
Existing methods may struggle with limited data from diverse sensing modalities.

Purpose of the Study:

To develop and evaluate a state-of-the-art microwave imaging prototype for accurate breast surface estimation.
To translate sparse laser and electromagnetic samples into a precise estimate of the region of interest.
To assess the algorithm's robustness to noise and its effectiveness on patient data.

Main Methods:

Utilizing a microwave imaging prototype with integrated laser and microwave sensors.
Acquiring sparse surface samples from realistic breast models of varying sizes and shapes.
Developing and applying a novel algorithm to reconstruct breast surface geometry from limited data.

Main Results:

The algorithm accurately estimates the shape of realistic breast phantoms using sparse data.
Demonstrated robustness to measurement noise in acquired data.
Successful application to patient scans obtained with the prototype, validating real-world efficacy.

Conclusions:

The developed microwave imaging approach enables accurate breast surface estimation from sparse, noisy measurements.
The prototype and algorithm show significant potential for improving biomedical imaging applications.
The method is effective for both phantom studies and clinical patient data acquisition.