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Proceedings Paper

Image reconstruction with noise and error modelling in quantitative photoacoustic tomography
Author(s): Tanja Tarvainen; Aki Pulkkinen; Ben T. Cox; Jari P. Kaipio; Simon R. Arridge
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Paper Abstract

Quantitative photoacoustic tomography is an emerging imaging technique aimed at estimating the optical parameters inside tissue from photoacoustic images. The method proceeds from photoacoustic tomography by taking the estimated initial pressure distributions as data and estimating the absolute values of the optical parameters. Therefore, both the data and the noise of the second (optical) inverse problem are affected by the method applied to solve the first (acoustic) inverse problem. In this work, the Bayesian approach for quantitative photoacoustic tomography is taken. Modelling of noise and errors and incorporating their statistics into the solution of the inverse problem are investigated.

Paper Details

Date Published: 15 March 2016
PDF: 8 pages
Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97083Q (15 March 2016); doi: 10.1117/12.2209477
Show Author Affiliations
Tanja Tarvainen, Univ. of Eastern Finland (Finland)
Univ. College London (United Kingdom)
Aki Pulkkinen, Univ. of Eastern Finland (Finland)
Ben T. Cox, Univ. College London (United Kingdom)
Jari P. Kaipio, Univ. of Eastern Finland (Finland)
The Univ. of Auckland (New Zealand)
Simon R. Arridge, 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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