Raju, BI; Swindells, KJ; Gonzalez, S; Srinivasan, MA; (2003) Quantitative ultrasonic methods for characterization of skin lesions in vivo. ULTRASOUND MED BIOL , 29 (6) 825 - 838. 10.1016/S0301-5629(03)00009-7.
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Quantitative ultrasonic methods were studied for characterizing skin lesions in vivo using contact dermatitis as an example. The parameters studied include skin thickness, echogenicity, attenuation coefficient slope and parameters related to echo statistics (signal-to-noise ratio and shape parameters of Weibull, K and generalized gamma distributions). Data were collected using a high-frequency ultrasound (US) system (center frequency = 33 MHz). To compensate for depth-dependent diffraction effects, correction curves as a function of the distance between the transducer and the tissue were first empirically obtained. Diffraction-corrected quantitative parameters were then compared between healthy and affected skin of volunteers, who underwent patch testing for allergic and irritant contact dermatitis. A significant increase in skin thickness, decrease in echogenicity of the upper dermis and decrease in attenuation coefficient slope were found at the affected sites compared to those of healthy skin. However, no differences in parameters related to the echo statistics of the mid-dermis were found. These results indicate that a combination of quantitative ultrasonic parameters have the potential for extracting information for characterizing skin conditions. (E-mail: email@example.com) (C) 2003 World Federation for Ultrasound in Medicine Biology.
|Title:||Quantitative ultrasonic methods for characterization of skin lesions in vivo|
|Keywords:||high-frequency ultrasound, skin, dermis, tissue characterization, diffraction compensation, attenuation, coefficient, echogenicity, echo statistics, dermatology, contact dermatitis, PATCH TEST REACTIONS, RAYLEIGH STATISTICS, FOLD THICKNESS, HUMAN DERMIS, BACKSCATTER, ATTENUATION, SYSTEM, TISSUE, DIFFERENTIATION, QUANTIFICATION|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
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