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dc.contributor.advisorMandayam A. Srinivasan and Dennis M. Freeman.en_US
dc.contributor.authorRaju, Balasundara I. (Balasundara Iyyavu), 1972-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2005-10-14T19:20:24Z
dc.date.available2005-10-14T19:20:24Z
dc.date.copyright2002en_US
dc.date.issued2002en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/29232
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.en_US
dc.descriptionIncludes bibliographical references (p. 144-161).en_US
dc.description.abstractHigh frequency (>20 MHz) ultrasound has numerous potential applications in dermatology because of its ability to penetrate several millimeters into the skin and provide information at a spatial resolution of tens of microns. However, conventional B-scan images of skin tissues often lack the capability to characterize and differentiate various skin tissues. In this work, quantitative ultrasonic methods using the attenuation coefficient, backscatter coefficient, and echo envelope statistics were studied for their potential to characterize human skin tissues in vivo. A high frequency ultrasound system was developed using polymer transducers, a pulser/receiver, high-speed digitizer, 3-axis scanning system, and a PC. Data collected using three different transducers with center frequencies of 28, 30 and 44 MHz were processed to determine the characteristics of normal human dermis and subcutaneous fat. Attenuation coefficients were obtained by computing spectral slopes vs. depth, with the transducers axially translated to minimize diffraction effects. Backscatter coefficients were obtained by compensating recorded backscatter spectra for system-dependent effects, and additionally for one transducer, using the reference phantom technique. Good agreement was seen between the results from the different transducers/methods. The attenuation coefficients were well described by a linear frequency dependence whose slope showed significant differences between the forearm and fingertip dermis, but not between the forearm dermis and fat. The backscatter coefficient of the dermis showed an increasing trend with frequency and was significantly higher than that of fat.en_US
dc.description.abstract(cont.) A maximum likelihood fit of six probability distributions (Rayleigh, Rician, K, Nakagami, Weibull, and Generalized Gamma) to fluctuations in echo envelope data showed that the Generalized Gamma distribution modeled the envelope better than the other distributions. Fat was seen to exhibit significantly more pre-Rayleigh behavior than the dermis. Data were also obtained from the skin of patients patch-tested for contact dermatitis. A significant increase in skin thickness, decrease in mean backscatter of the upper dermis, and decrease in attenuation coefficient slope was found at the affected sites compared to normal skin. However, no differences in terms of echo statistics were found in the mid-dermis. These results indicate that a combination of ultrasonic parameters have the potential to non-invasively characterize skin tissues.en_US
dc.description.statementofresponsibilityby Balasundara I. Raju.en_US
dc.format.extent161 p.en_US
dc.format.extent7260250 bytes
dc.format.extent7260058 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleHigh frequency ultrasonic characterization of human skin In vivoen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc51457980en_US


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