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Related Experiment Video

Updated: Mar 27, 2026

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

A microwave imaging-based 3D localization algorithm for an in-body RF source as in wireless capsule endoscopes.

Rohit Chandra, Ilangko Balasingham

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 7, 2016

Summary

A new microwave imaging technique precisely locates radio-frequency sources within the body, crucial for wireless capsule endoscopes. This method enhances accuracy for pinpointing abnormalities in the gastrointestinal tract.

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Area of Science:

Biomedical Engineering
Medical Imaging
Electromagnetics

Background:

Accurate localization of internal radio-frequency (RF) sources is vital for medical applications like wireless capsule endoscopy.
Current methods may lack the precision needed for detailed gastrointestinal tract abnormality positioning.

Purpose of the Study:

To present a novel microwave imaging technique for 3D localization of in-body RF sources.
To improve the accuracy of RF source localization for applications such as wireless capsule endoscopes.

Main Methods:

Utilized microwave imaging to determine tissue dielectric properties (permittivity and conductivity).
Developed a 2D microwave imaging algorithm for dielectric property determination.
Implemented a calibration method to correct errors in 3D imaging data.
Simulated the technique on a 3D heterogeneous phantom with added white Gaussian noise (30 dB SNR).

Main Results:

The calibration method significantly improved imaging and localization accuracy.
In 90% of simulations, the 3D localization accuracy was within 1.67 cm.
Demonstrated the technique's capability for precise 3D localization of internal RF sources.

Conclusions:

The developed microwave imaging technique offers high accuracy for 3D RF source localization within biological tissues.
This method holds significant potential for enhancing the diagnostic capabilities of wireless capsule endoscopes.
The calibration approach effectively addresses imaging errors, leading to reliable localization results.