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Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Multiscale AM-FM demodulation and image reconstruction methods with improved accuracy.

Victor Murray¹, Paul Rodriguez, Marios S Pattichis

¹Image and Video Processing and Communications Lab (ivPCL), Department of Electrical Engineering and Computer Engineering, University of New Mexico, Albuquerque, NM 87131 USA. vmurray@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 15, 2010

Summary

This summary is machine-generated.

New multiscale amplitude-modulation frequency-modulation (AM-FM) demodulation methods enhance image processing. Advanced instantaneous frequency (IF) estimation techniques improve image reconstruction and analysis.

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Area of Science:

Image Processing
Signal Analysis
Applied Mathematics

Background:

Traditional image processing methods struggle with complex signal analysis.
Amplitude-modulation frequency-modulation (AM-FM) signals offer rich information but are challenging to demodulate accurately.
Existing instantaneous frequency (IF) estimation techniques have limitations in accuracy and adaptability.

Purpose of the Study:

To develop novel multiscale AM-FM demodulation methods for enhanced image processing.
To introduce accurate and adaptive IF estimation techniques.
To demonstrate the effectiveness of new methods for image reconstruction and analysis.

Main Methods:

Development of a new multiscale filterbank for AM-FM demodulation.
Introduction of the variable-spacing local linear phase (VS-LLP) method for improved IF estimation.
Implementation of multiscale least squares AM-FM reconstructions.
Comparison of VS-LLP with extended quasilocal method and quasi-eigen function approximation (QEA).
Introduction of a new quasi-local method (QLM) for IF and IA estimation.

Main Results:

The VS-LLP method generalizes QEA by adapting sample spacing based on frequency.
New IF estimation methods provide significantly improved accuracy.
The proposed methods effectively reconstruct and analyze general images using multiscale decompositions.

Conclusions:

The developed multiscale AM-FM demodulation methods represent a significant advancement in image processing.
The novel IF estimation techniques, particularly VS-LLP, offer superior performance.
These methods provide a robust framework for analyzing and reconstructing complex image data.