Characteristic spectral features of the polarized fluorescence of human breast cancer in the wavelet domain

TL;DR

This study uses wavelet transform to analyze polarized fluorescence spectra of human breast tissues, identifying spectral features that reliably distinguish between normal and malignant tissues, potentially aiding in cancer diagnosis.

Contribution

The paper introduces a wavelet domain analysis of polarized fluorescence spectra to detect subtle spectral differences between healthy and cancerous breast tissues.

Findings

Wavelet analysis localizes spectral features distinguishing tissue types.

Spectral variations are identifiable in both low and high frequency wavelet coefficients.

Polarized fluorescence spectra can differentiate normal and malignant tissues.

Abstract

Wavelet transform of polarized fluorescence spectra of human breast tissues is found to localize spectral features that can reliably differentiate normal and malignant tissue types. The intensity differences of parallel and perpendicularly polarized fluorescence spectra are subjected to investigation, since the same is relatively free of the diffusive background. A number of parameters, capturing spectral variations and subtle changes in the diseased tissues in the visible wavelength regime, are clearly identifiable in the wavelet domain. These manifest both in the average low pass and high frequency high pass wavelet coefficients.