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Proceedings Paper

Bayesian approach to image reconstruction in photoacoustic tomography
Author(s): Jenni Tick; Aki Pulkkinen; Tanja Tarvainen
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Paper Abstract

Photoacoustic tomography is a hybrid imaging method that has a variety of biomedical applications. In photoacoustic tomography, the image reconstruction problem (inverse problem) is to resolve the initial pressure distribution from detected ultrasound waves generated within an object due to an illumination of a short light pulse. In this work, this problem is approached in Bayesian framework. Image reconstruction is investigated with numerical simulations in different detector geometries, including limited view setup, and utilizing different prior information. Furthermore, assessing the reliability of the estimates is investigated. The simulations show that the Bayesian approach can produce accurate estimates of the initial pressure distribution and uncertainty information even in a limited view setup if proper prior information is utilized.

Paper Details

Date Published: 3 March 2017
PDF: 7 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100643M (3 March 2017); doi: 10.1117/12.2248369
Show Author Affiliations
Jenni Tick, Univ. of Eastern Finland (Finland)
Aki Pulkkinen, Univ. of Eastern Finland (Finland)
Tanja Tarvainen, Univ. of Eastern Finland (Finland)
Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 10064:
Photons Plus Ultrasound: Imaging and Sensing 2017
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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