CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Med. Imag. > Volume 4 > Issue 1 > Article
Open Access
16 March 2017 Large-field-of-view optical elastography using digital image correlation for biological soft tissue investigation
Daniel Claus, Marijo Mlikota, Jonathan Geibel, Thomas Reichenbach, Giancarlo Pedrini, Johannes Mischinger, Siegfried Schmauder, Wolfgang Osten
Author Affiliations +
Journal of Medical Imaging, Vol. 4, Issue 1, 014505 (March 2017). https://doi.org/10.1117/1.JMI.4.1.014505
Abstract
In minimally invasive surgery the haptic feedback, which represents an important tool for the localization of abnormalities, is no longer available. Elastography is an imaging technique that results in quantitative elastic parameters. It can hence be used to replace the lost sense of touch, as to enable tissue localization and discrimination. Digital image correlation is the chosen elastographic imaging technique. The implementation discussed here is clinically sound, based on a spectrally engineered illumination source that enables imaging of biological surface markers (blood vessels) with high contrast. Mechanical loading and deformation of the sample is performed using a rolling indenter, which enables the investigation of large organs (size of kidney) with reduced measurement time compared to a scanning approach. Furthermore, the rolling indentation results in strain contrast improvement and an increase in detection accuracy. The successful application of digital image correlation is first demonstrated on a silicone phantom and later on biological samples. Elasticity parameters and their corresponding four-dimensional distribution are generated via solving the inverse problem (only two-dimensional displacement field and strain map experimentally available) using a well-matched hyperelastic finite element model.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Citation Download Citation
Daniel Claus, Marijo Mlikota, Jonathan Geibel, Thomas Reichenbach, Giancarlo Pedrini, Johannes Mischinger, Siegfried Schmauder, and Wolfgang Osten "Large-field-of-view optical elastography using digital image correlation for biological soft tissue investigation," Journal of Medical Imaging 4(1), 014505 (16 March 2017). https://doi.org/10.1117/1.JMI.4.1.014505
Received: 9 December 2016; Accepted: 17 February 2017; Published: 16 March 2017
JOURNAL ARTICLE
 14 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Tissues
Elastography
Silicon
3D modeling
Digital image correlation
Kidney
Biomedical optics
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top