Tick, J;
Pulkkinen, A;
Tarvainen, T;
(2017)
Bayesian approach to image reconstruction in photoacoustic tomography.
In:
Photons Plus Ultrasound: Imaging and Sensing 2017.
(pp. 100643M-1-100643M-7).
SPIE
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | Bayesian approach to image reconstruction in photoacoustic tomography |
| Event: | Photons Plus Ultrasound: Imaging and Sensing 2017 |
| Location: | San Francisco, California, United States |
| Dates: | 29 January 2017 - 1 February 2017 |
| ISBN-13: | 9781510605695 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2248369 |
| Publisher version: | http://doi.org/10.1117/12.2248369 |
| Language: | English |
| Additional information: | © 2017 SPIE. This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1560609 |
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