Systematic approach to study of thinly and thickly sectioned melanoma tissues with scanning acoustic microscopy

C. Miyasaka, B. R. Tittmann, R. Tutwiler, Y. Tian, E. Maeva, D. Shum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The present study is to investigate the feasibility of applying in-vivo acoustic microscopy to the analysis of cancerous tissue. The study was implemented with mechanical scanning reflection acoustic microscope (SAM) by the following procedures. First, we ultrasonically visualized thick sections of normal and tumor tissues to determine the lowest transducer frequency required for cellular imaging. We used skin for normal tissue and the tumor was a malignant melanoma. Thin sections of the tissue were also studied with the optical and high-frequency-ultrasonic imaging for pathological evaluation. Secondly, we ultrasonically visualized subsurface cellular details of thin tissue specimens with different modes (i.e., pulse and tone-burst wave modes) to obtain the highest quality ultrasonic images. The objective is to select the best mode for the future design of a future SAM for in-vivo examination. Thirdly, we developed a mathematical modeling technique based on an angular spectrum approach for improving image processing and comparing numerical to experimental results.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems 2010
EditionPART 1
DOIs
StatePublished - 2010
EventHealth Monitoring of Structural and Biological Systems 2010 - San Diego, CA, United States
Duration: Mar 8 2010Mar 11 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
NumberPART 1
Volume7650
ISSN (Print)0277-786X

Other

OtherHealth Monitoring of Structural and Biological Systems 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period3/8/103/11/10

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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