Tick, J;
Pulkkinen, A;
Tarvainen, T;
(2018)
Photoacoustic image reconstruction with uncertainty quantification.
In:
IFMBE Proceedings - EMBEC & NBC 2017.
(pp. pp. 113-116).
Springer: Singapore.
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Abstract
Photoacoustic tomography is a hybrid imaging technique that has various applications in biomedicine. In a photoacoustic image reconstruction problem (inverse problem), an initial pressure distribution is reconstructed from measured ultrasound waves which are generated by the photoacoustic effect induced by an optical excitation. In this work, the image reconstruction problem is approached in the framework of Bayesian inversion. The approach is tested with three dimensional numerical simulations. The initial pressure distribution is reconstructed in full-view and limited-view setups. In addition, the reliability of the obtained estimates is assessed. The numerical studies show that accurate estimates of the initial pressure distribution and uncertainty information can be obtained utilizing Bayesian approach.
| Type: | Proceedings paper |
|---|---|
| Title: | Photoacoustic image reconstruction with uncertainty quantification |
| Event: | EMBEC & NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) |
| Location: | Tampere, Finland |
| Dates: | 11 June 2017 - 15 June 2017 |
| ISBN-13: | 9789811051210 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-981-10-5122-7_29 |
| Publisher version: | http://doi.org/10.1007/978-981-10-5122-7_29 |
| Language: | English |
| Additional information: | © Springer Nature Singapore Pte Ltd. 2018. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Photoacoustic tomography; inverse problems; Bayesian methods; uncertainty quantification |
| 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-pp.ucl.ac.uk/id/eprint/1569580 |
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