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Updated: Mar 29, 2026

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Compressive sampling for time critical microwave imaging applications.

Darren Craven¹, Martin O'Halloran¹, Brian McGinley¹

¹College of Engineering and Informatics , National University of Ireland Galway , University Road , Galway , Ireland.

Healthcare Technology Letters

|November 27, 2015

Summary

This summary is machine-generated.

Compressed sensing (CS) reduces data acquisition time in microwave imaging (MWI) by enabling sub-Nyquist sampling. This technique is effective for ultra-wideband radar MWI, accepting minor reconstruction quality loss for faster imaging.

Keywords:

biomedical imaging compressed sensing compressive sampling data acquisition data acquisition time imaging time microwave imaging reconstruction quality subsampling acquisition time critical microwave imaging

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Area of Science:

Biomedical Imaging
Microwave Imaging (MWI)
Signal Processing

Background:

Growing need for reduced data acquisition and imaging times in biomedical applications.
Microwave imaging (MWI) applications are time-critical, necessitating faster data acquisition.
Ultra-wideband (UWB) radar MWI demands significant reductions in imaging time.

Purpose of the Study:

To explore compressed sensing (CS) as an efficient technique for minimizing data acquisition time in time-critical MWI.
To evaluate the effectiveness and suitability of CS for ultra-wideband (UWB) radar MWI applications.
To assess the trade-off between compression levels and reconstruction quality in UWB MWI.

Main Methods:

Implementation of compressed sensing (CS) for sub-sampling acquisition in the frequency domain.
Analysis of CS performance in ultra-wideband (UWB) radar MWI scenarios.
Evaluation of signal reconstruction quality degradation with increasing compression.

Main Results:

CS enables sub-sampling in the frequency domain for signals sparse in the time domain.
Shorter imaging times are achieved with CS implementation in MWI.
A slight degradation in reconstruction quality is observed as compression increases, which may be acceptable for UWB MWI.

Conclusions:

Compressed sensing (CS) is an effective technique for reducing data acquisition time in time-critical microwave imaging (MWI).
CS is well-suited for ultra-wideband (UWB) radar MWI applications where rapid imaging is crucial.
The trade-off of minor reconstruction quality loss is acceptable for achieving significantly reduced imaging times in UWB MWI.