Share Email Print
cover

Proceedings Paper

Texture generation in compressional photoacoustic elastography
Author(s): J. W. Schmid; Behrooz Zabihian; T. Widlak; T. Glatz; M. Liu; W. Drexler; O. Scherzer
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Elastography is implemented by applying a mechanical force to a specimen and visualizing the resulting displacement. As a basis of elastographic imaging typically ultrasound, optical coherence tomography or magnetic resonance imaging are used. Photoacoustics has not been viewed as a primary imaging modality for elastography, but only as a complementary method to enhance the contrast in ultrasound elastography. The reason is that photoacoustics is considered speckle free [3], which hinders application of speckle tracking algorithms. However, while conventional ultrasound only uses a single frequency, photoacoustics utilizes a broad frequency spectrum. We are therefore able to generate artificial texture by using a frequency band limited part of the recorded data. In this work we try to assess the applicability of this technique to photoacoustic tomography. We use Agar phantoms with predefined Young's moduli and laterally apply a 50μm static compression. Pre- and post compression data are recorded via a Fabry Pérot interferometer planar sensor setup and reconstructed via a non-uniform-FFT reconstruction algorithm. A displacement vector field, between pre- and post compressed data is then determined via optical flow algorithms. While the implementation of texture generation during post processing reduces image quality overall, it turns out that it improves the detection of moving patterns and is therefore better suited for elastography.

Paper Details

Date Published: 11 March 2015
PDF: 5 pages
Proc. SPIE 9323, Photons Plus Ultrasound: Imaging and Sensing 2015, 93232S (11 March 2015); doi: 10.1117/12.2079672
Show Author Affiliations
J. W. Schmid, Univ. of Vienna (Austria)
Medical Univ. of Vienna (Austria)
Behrooz Zabihian, Medizinische Univ. Wien (Austria)
T. Widlak, Univ. of Vienna (Austria)
T. Glatz, Univ. of Vienna (Austria)
M. Liu, Medical Univ. of Vienna (Austria)
W. Drexler, Medical Univ. of Vienna (Austria)
O. Scherzer, Univ. of Vienna (Austria)
Johann Radon Institute for Computational and Applied Mathematics (RICAM) (Austria)


Published in SPIE Proceedings Vol. 9323:
Photons Plus Ultrasound: Imaging and Sensing 2015
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

© SPIE. Terms of Use
Back to Top