Acoustic impedance estimation using calibration curve for scanning acoustic impedance microscope

Agus Indra Gunawan, Yoshifumi Saijo, Naohiro Hozumi, Sachiko Yoshida, Kazuto Kobayashi, Seiji Yamamoto

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Ultrasonic has been used since several decades ago. One of ultrasonic application is used in medical field to observe mechanical properties of target, such as speed of sound, density, acoustic impedance, attenuation, etc. Several methods are also available to estimate mechanical property of target. In the previous research, we developed Scanning Acoustic Microscope (SAM). On that research, we proposed a method to estimated acoustic impedance by utilizing calibration curve. A calibration curve is established based on echo intensity obtained from calculation of acoustic propagation. The highest amplitude of a single frequency component is chosen and taken into calculation. The other frequency components are neglected. In this paper, authors propose a method to estimate acoustic impedance of target. The acoustic impedance is estimated based on calibration curve by considering all frequency components of acoustic wave. This calculation is then compared to previous research. As a result, acoustic impedance of cerebellar tissue of rat are presented by utilizing two calibration curves.

本文言語English
ホスト出版物のタイトル2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
編集者Ahmad Zainudin, M. Udin Harun Al Rasyid, Ali Ridho Barakbah
出版社Institute of Electrical and Electronics Engineers Inc.
ページ240-245
ページ数6
ISBN(電子版)9781509052318
DOI
出版ステータスPublished - 2017 3 20
イベント5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 - Manado, Indonesia
継続期間: 2016 11 152016 11 17

出版物シリーズ

名前2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016

Other

Other5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
国/地域Indonesia
CityManado
Period16/11/1516/11/17

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 人工知能

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