Share Email Print
cover

Proceedings Paper

Sparsifying transformations of photoacoustic signals enabling compressed sensing algorithms
Author(s): P. Burgholzer; M. Sandbichler; F. Krahmer; T. Berer; M. Haltmeier
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Compressed sensing allows performing much fewer measurements than advised by the Shannon sampling theory. This is surprising because it requires the solution of a system of equations with much fewer equations than unknowns. This is possible if one can assume sparsity of the solution, which means that only a few components of the solution are significantly different from zero. An important ingredient for compressed sensing is the restricted isometry property (RIP) of the sensing matrix, which is satisfied for certain types of random measurement ensembles. Then a sparse solution can be found by minimizing the ℓ1-norm. Using standard approaches, photoacoustic imaging generally neither satisfies sparsity of the data nor the RIP. Therefore, no theoretical recovery guarantees could be given. Despite ℓ1- minimization has been used for photoacoustic image reconstruction, only marginal improvements in comparison to classical photoacoustic reconstruction have been observed. We propose the application of a sparsifying temporal transformation to the detected pressure signals, which allows obtaining theoretical recovery guarantees for our compressed sensing scheme. Such a sparsifying transform can be found because spatial and temporal evolution of the pressure wave are not independent, but connected by the wave equation. We give an example of a sparsifying transform and apply our compressed sensing scheme to reconstruct images from simulated data.

Paper Details

Date Published: 15 March 2016
PDF: 8 pages
Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 970828 (15 March 2016); doi: 10.1117/12.2209301
Show Author Affiliations
P. Burgholzer, Research Ctr. for Non Destructive Testing (Austria)
Christian Doppler Lab. for Photoacoustic Imaging and Laser Ultrasonics (Austria)
M. Sandbichler, Univ. of Innsbruck (Austria)
F. Krahmer, Technische Univ. München (Germany)
T. Berer, Research Ctr. for Non Destructive Testing (Austria)
Christian Doppler Lab. for Photoacoustic Imaging and Laser Ultrasonics (Austria)
M. Haltmeier, Univ. of Innsbruck (Austria)


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

© SPIE. Terms of Use
Back to Top