| Issue |
EPL
Volume 104, Number 6, December 2013
|
|
|---|---|---|
| Article Number | 68001 | |
| Number of page(s) | 6 | |
| Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
| DOI | https://doi.org/10.1209/0295-5075/104/68001 | |
| Published online | 13 January 2014 | |
Multifractal analysis of dynamic infrared imaging of breast cancer
1 Institute of Continuous Media Mechanics UB RAS - 1 Acad. Korolev str., Perm 614013, Russia
2 Laboratoire de Physique, CNRS, ENS de Lyon - 46 Alleé d'Italie, F69007 Lyon, France, EU
3 Université de Lyon - F96000 Lyon, France, EU
4 Department of Mathematics and Statistics, University of Maine - Orono, ME 04469, USA
Received: 24 October 2013
Accepted: 11 December 2013
The wavelet transform modulus maxima (WTMM) method was used in a multifractal analysis of skin breast temperature time-series recorded using dynamic infrared (IR) thermography. Multifractal scaling was found for healthy breasts as the signature of a continuous change in the shape of the probability density function (pdf) of temperature fluctuations across time scales from 
to 3 s. In contrast, temperature time-series from breasts with malignant tumors showed homogeneous monofractal temperature fluctuations statistics. These results highlight dynamic IR imaging as a very valuable non-invasive technique for preliminary screening in asymptomatic women to identify those with risk of breast cancer.
PACS: 87.19.xj – Cancer / 87.50.wj – Dosimetry/exposure assessment / 87.57.R- – Computer-aided diagnosis
© EPLA, 2013
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