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Proceedings Paper

Numerical and experimental analysis of high frequency acoustic microscopy and infrared reflectance system for early detection of melanoma
Author(s): Georgios Karagiannis; Georgios Apostolidis; Panagiotis Georgoulias
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Paper Abstract

Melanoma is a very malicious type of cancer as it metastasizes early and hence its late diagnosis leads to death. Consequently, early diagnosis of melanoma and its removal is considered the most effective way of treatment. We present a design of a high frequency acoustic microscopy and infrared reflectance system for the early detection of melanoma. Specifically, the identification of morphological changes related to carcinogenesis is required. In this work, we simulate of the propagation of the ultrasonic waves of the order of 100 MHz as well as of electromagnetic waves of the order of 100 THz in melanoma structures targeting to the estimation and optimization of the basic characteristics of the systems. The simulation results of the acoustic microscopy subsystem aim to provide information such as the geometry of the transducer, the center frequency of operation, the focal length where the power transmittance is optimum and the spot size in focal length. As far as the infrared is concerned the optimal frequency range and the spot illumination size of the external probe is provided. This information is next used to assemble a properly designed system which is applied to melanoma phantoms as well as real skin lesions. Finally, the measurement data are visualized to reveal the information of the experimented structures, proving noteworthy accuracy.

Paper Details

Date Published: 15 March 2016
PDF: 16 pages
Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97084N (15 March 2016); doi: 10.1117/12.2213464
Show Author Affiliations
Georgios Karagiannis, Ormylia Foundation (Greece)
Univ. of Thessaly (Greece)
Georgios Apostolidis, Ormylia Foundation (Greece)
Panagiotis Georgoulias, Univ. of Thessaly (Greece)


Published in SPIE Proceedings Vol. 9708:
Photons Plus Ultrasound: Imaging and Sensing 2016
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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