Elastic characterization of swine aorta by scanning acoustic microscopy at 30 MHz

Christopher Blase, Amit Shelke, Tribikram Kundu, Jürgen Bereiter-Hahn

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

Abstract

The mechanical properties of blood vessel walls are important determinants of physiology and pathology of the cardiovascular system. Acoustic imaging (B mode) is routinely used in a clinical setting to determine blood flow and wall distensibility. In this study scanning acoustic microscopy in vitro is used to determine spatially resolved tissue elastic properties. Broadband excitation of 30 MHz has been applied through scanning acoustic microscopy (SAM) for topographical imaging of swine thoracic aorta in reflection mode. Three differently treated tissue samples were investigated with SAM: a) treated with elastase to remove elastin, b) autoclaving for 5 hours to remove collagen and c) fresh controlled untreated sample as control. Experimental investigations are conducted for studying the contribution of individual protein components (elastin and collagen) to the material characteristics of the aortic wall. Conventional tensile testing has been conducted on the tissue samples to study the mechanical behavior. The mechanical properties measured by SAM and tensile testing show qualitative agreement.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems 2011
DOIs
StatePublished - 2011
EventHealth Monitoring of Structural and Biological Systems 2011 - San Diego, CA, United States
Duration: Mar 7 2011Mar 10 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7984
ISSN (Print)0277-786X

Other

OtherHealth Monitoring of Structural and Biological Systems 2011
Country/TerritoryUnited States
CitySan Diego, CA
Period3/7/113/10/11

ASJC Scopus subject areas

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

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