Study of the Contrast Mechanism in an Acoustic Image for Thickly Sectioned Melanoma Skin Tissues with Acoustic Microscopy

Bernhard R. Tittmann

Pennsylvania State University, Department of Engineering Science and Mechanics, 212 Earth-Engineering Sciences Building, University Park, PA 16802, USA

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Chiaki Miyasaka,

Chiaki Miyasaka

Pennsylvania State University, Department of Engineering Science and Mechanics, 212 Earth-Engineering Sciences Building, University Park, PA 16802, USA

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Elena Maeva,

Elena Maeva

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David Shum,

David Shum

Hotel Dieu Grace Hospital, Windsor Regional Hospital, Leamington District Memorial Hospital, 1995 Lens Avenue, Windsor, ON N8W 1L9, Canada

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Bernhard R. Tittmann,

Bernhard R. Tittmann

Pennsylvania State University, Department of Engineering Science and Mechanics, 212 Earth-Engineering Sciences Building, University Park, PA 16802, USA

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Chiaki Miyasaka,

Chiaki Miyasaka

Pennsylvania State University, Department of Engineering Science and Mechanics, 212 Earth-Engineering Sciences Building, University Park, PA 16802, USA

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Elena Maeva,

Elena Maeva

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David Shum,

David Shum

Hotel Dieu Grace Hospital, Windsor Regional Hospital, Leamington District Memorial Hospital, 1995 Lens Avenue, Windsor, ON N8W 1L9, Canada

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Book Editor(s):Prof. Roman Gr. Maev,

Prof. Roman Gr. Maev

University of Windsor, Institute for Diagnostic Imaging Research, 401 Sunset Avenue, Windsor, ON N9B 3P4, Canada

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First published: 20 March 2013

https://doi.org/10.1002/9783527655304.ch7

Citations: 1

Summary

This chapter presents the results of a study to use broadband frequency acoustic microscopy to carry out digital imaging and computer simulation to characterize tissue. Since contrast in an acoustic image for skin tissue including a cancerous portion is formed by attenuation differences within the tissue, prediction of the amplitude of a transducer output is important for the field of medical ultrasound. An abnormal skin tissue was selected as a specimen, and compared to a normal skin tissue. The technique suggests the use of this approach as a diagnostic tool and opens the door for more sophisticated analysis. The author develops a mathematical modeling for a five-layer acoustic wave propagation system. The results indicate both qualitative and quantitative differences between normal and abnormal melanoma tissue, thus paving the way for a potentially useful diagnostic medical tool without the need for staining tissue as is most often required in optical imaging.

Controlled Vocabulary Terms

acoustic microscopy; acoustic wave propagation; biomedical optical imaging; mathematical analysis; virtual machines

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Citing Literature

Advances in Acoustic Microscopy and High Resolution Imaging: From Principles to Applications