Combining Multifractal Analyses of Digital Mammograms and Infrared Thermograms to Assist in Early Breast Cancer Diagnosis
ARGOUL, Françoise
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
ARNEODO, Alain
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
< Reduce
Laboratoire Ondes et Matière d'Aquitaine [LOMA]
Laboratoire de Physique de l'ENS Lyon [Phys-ENS]
Language
en
Communication dans un congrès
This item was published in
2016-03-22, Tomsk. 2016-08-02, vol. 1760, p. 020018
English Abstract
We used a 1D wavelet transform modulus maxima (WTMM) method to analyze the temporal fluctuations ofbreast skin temperature recorded with an infrared (IR) camera from a panel of patients with breast cancer. This studyshows ...Read more >
We used a 1D wavelet transform modulus maxima (WTMM) method to analyze the temporal fluctuations ofbreast skin temperature recorded with an infrared (IR) camera from a panel of patients with breast cancer. This studyshows that the multifractal complexity of temperature fluctuations observed in healthy breasts, is lost in the region of themalignant tumor in cancerous breasts. Then, we applied the 2D WTMM method to analyze the spatial fluctuations ofbreast density in the X-ray mammograms of the same patients. Compared to the correlated roughness fluctuationsobserved in the healthy areas, some clear loss of correlations is detected in malignant tumor foci. These physiological andarchitectural changes in the environment of malignant tumors detected in both thermograms and mammograms open newperspectives in computer-aided multifractal methods to assist in early breast cancer diagnosis.Read less <
English Keywords
Cancer
Spatial analysis
Thermal analysis
Infrared detectors
Wavelet transform
Origin
Hal imported