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Speckle Characterization by Fractional Parameters: preliminary results before application to the discrimination of cardiopathies from echocardiographic images

Abstract : To this day, echocardiography does not allow to discriminate certain pathologies such as, Hyper-trophic Cardiomyopathy (HCM) and cardiac amyloido-sis. Therefore, we attempt to define new echographic markers suited for this discrimination purpose. The work presented in this paper concerns the evaluation of the ability of fractal parameters to characterize speckle properties. For this purpose, we carried out an experiment by capturing the transmission of a laser light through a layer of milk thanks to a lensless camera. The obtained images present speckle that can be changed either by modifying the milk temperature or by changing its thickness. Thus, we evaluated how two fractal parameters (Hurst exponent and Fractional Dimension) could take into account these modifications of the speckle properties. This preliminary work leads to good results that we currently adapt in order to discriminate hypertrophic heart diseases on a database of echocardiographic images under development.
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https://www.hal.inserm.fr/inserm-01155027
Contributor : Frédérique Frouin <>
Submitted on : Tuesday, May 26, 2015 - 8:21:22 AM
Last modification on : Wednesday, August 19, 2020 - 11:18:08 AM
Long-term archiving on: : Thursday, April 20, 2017 - 7:50:33 AM

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Vera Damerjian, Eric Deléchelle, Olena Tankyevych, Aziz Guellich, Thibaud Damy, et al.. Speckle Characterization by Fractional Parameters: preliminary results before application to the discrimination of cardiopathies from echocardiographic images. Journées RITS 2015, Mar 2015, Dourdan, France. pp 188-190. ⟨inserm-01155027⟩

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