Elastography is an emerging imaging technique that has already proved its clinical usefulness with MRI and ultrasound methods. In the last years, elastography methods have also been adapted to optical setups, expending its applications to new possibilities. In this presentation, we propose a generalization of the NCi method to partially coherent mechanical wave field. The method is first validated finite difference simulations and a proof of concept using optical, ultrasound and MRI commercial systems is presented.
The stiffness of a biological tissue is a great indicator of its health state. Thus, adding quantitative stiffness to medical imaging systems could be a strong aid for diagnosis, notably in cases of small lesions or inaccessible tissues. In our team, we developed noise correlation elastography for full field coherent imaging technics such as digital holography or FFOCT). In the present study, we demonstrate the advantages of this method for the non-invasive quantification of mechanical anisotropy in fibrous biological tissues, both when validating it on finite-difference simulated data, in anisotropic tissue-mimicking polymer fantoms, and ex-vivo and in-vivo biological samples.
Quantitative elastography is performed using noise-correlation on full-field images acquired using digital holography. Experimental results in isotropic and anisotropic polymer samples are presented as well as stiffness images on biological tissues.
We present here our latest results on noise correlation based optical elastography using off-axis digital elastography. In this study, noise correlation elastography is used to access quantitative measurement of stiffness anisotropy.
The principle is to numerically refocus the diffuse shear wave field at each pixel using noise-correlation algorithms. The refocusing gives not only access to the local shear wave wavelength directly related to the local shear wave speed but also to the mechanical anisotropy through the 2D shape of the refocusing.
The method is validated on finite difference simulation and first experimental measure is presented.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.