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Multi angle Wavelet-based multifractal analysis of dynamic infrared thermograms and X-ray mammograms to assist in early breast cancer diagnosis

Auteurs : Arneodo, Alain (Auteur de la Conférence)
CIRM (Editeur )

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    Résumé : Breast cancer is the most common type of cancer among women and despite recent advances in the medical field, there are still some inherent limitations in the currently used screening techniques. The radiological interpretation of X-ray mammograms often leads to over-diagnosis and, as a consequence, to unnecessary traumatic and painful biopsies. First we use the 1D Wavelet Transform Modulus Maxima (WTMM) method to reveal changes in skin temperature dynamics of women breasts with and without malignant tumor. We show that the statistics of temperature temporal fluctuations about the cardiogenic and vasomotor perfusion oscillations do not change across time-scales for cancerous breasts as the signature of homogeneous monofractal fluctuations. This contrasts with the continuous change of temperature fluctuation statistics observed for healthy breasts as the hallmark of complex multifractal scaling. When using the 2D WTMM method to analyze the roughness fluctuations of X-ray mammograms, we reveal some drastic loss of roughness spatial correlations that likely results from some deep architectural change in the microenvironment of a breast tumor. This local breast disorganisation may deeply affect heat transfer and related thermomechanics in the breast tissue and in turn explain the loss of multifractal complexity of temperature temporal fluctuations previously observed in mammary glands with malignant tumor. These promising findings could lead to the future use of combined wavelet-based multifractal processing of dynamic IR thermograms and X-ray mammograms to help identifying women with high risk of breast cancer prior to more traumatic examinations. Besides potential clinical impact, these results shed a new light on physiological changes that may precede anatomical alterations in breast cancer development.

    Keywords: breast cancer - X-ray mammography - infrared thermography - multifractal analysis - wavelet transform - wavelet transform modulus maxima method

    Codes MSC :
    92-08 - Computational methods
    92C50 - Medical applications (general)
    92C55 - Biomedical imaging and signal processing

      Informations sur la Vidéo

      Réalisateur : Hennenfent, Guillaume
      Langue : Anglais
      Date de publication : 16/03/15
      Date de captation : 24/01/15
      Collection : Special events ; 30 Years of Wavelets
      Format : quicktime ; audio/x-aac
      Durée : 00:33:19
      Domaine : Mathematics in Science & Technology ; Mathematical Physics
      Audience : Chercheurs ; Doctorants , Post - Doctorants
      Download : http://videos.cirm-math.fr/2015-01-24_Arneodo.mp4

    Informations sur la rencontre

    Nom du congrès : 30 years of wavelets / 30 ans des ondelettes
    Organisteurs Congrès : Feichtinger, Hans G. ; Torrésani, Bruno
    Dates : 23/01/15 - 24/01/15
    Année de la rencontre : 2015
    URL Congrès : http://feichtingertorresani.weebly.com/3...

    Citation Data

    DOI : 10.24350/CIRM.V.18725603
    Cite this video as: Arneodo, Alain (2015). Wavelet-based multifractal analysis of dynamic infrared thermograms and X-ray mammograms to assist in early breast cancer diagnosis.CIRM .Audiovisual resource. doi:10.24350/CIRM.V.18725603
    URI : http://dx.doi.org/10.24350/CIRM.V.18725603


    Bibliographie

    1. [1] Gerasimova, E., Audit, B., Roux, S.-G., Khalil, A., Argoul, F., Naimark, O., & Arneodo, A. (2013). Multifractal analysis of dynamic infrared imaging of breast cancer. Europhysics Letters, 104(6), 68001 - http://dx.doi.org/10.1209/0295-5075/104/68001

    2. [2] Gerasimova, E., Audit, B., Roux, S.-G., Khalil, A., Gileva, O., Argoul, F., Naimark, O., & Arneodo, A. (2014). Wavelet-based multifractal analysis of dynamic infrared thermograms to assist in early breast cancer diagnosis, Frontiers in Physiology 5, 176 - http://dx.doi.org/10.3389/fphys.2014.00176

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