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Proceedings Paper

Advanced photoacoustic image reconstruction using the k-Wave toolbox
Author(s): B. E. Treeby; J. Jaros; B. T. Cox
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Paper Abstract

Reconstructing images from measured time domain signals is an essential step in tomography-mode photoacoustic imaging. However, in practice, there are many complicating factors that make it difficult to obtain high-resolution images. These include incomplete or undersampled data, filtering effects, acoustic and optical attenuation, and uncertainties in the material parameters. Here, the processing and image reconstruction steps routinely used by the Photoacoustic Imaging Group at University College London are discussed. These include correction for acoustic and optical attenuation, spatial resampling, material parameter selection, image reconstruction, and log compression. The effect of each of these steps is demonstrated using a representative in vivo dataset. All of the algorithms discussed form part of the open-source k-Wave toolbox (available from

Paper Details

Date Published: 18 March 2016
PDF: 14 pages
Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97082P (18 March 2016); doi: 10.1117/12.2209254
Show Author Affiliations
B. E. Treeby, Univ. College London (United Kingdom)
J. Jaros, Brno Univ. of Technology (Czech Republic)
B. T. Cox, Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 9708:
Photons Plus Ultrasound: Imaging and Sensing 2016
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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