Bayesian approach to image reconstruction in photoacoustic tomography

Jenni Tick; Aki Pulkkinen; Tanja Tarvainen

doi:10.1117/12.2248369

3 March 2017 Bayesian approach to image reconstruction in photoacoustic tomography

Jenni Tick, Aki Pulkkinen, Tanja Tarvainen

Proceedings Volume 10064, Photons Plus Ultrasound: Imaging and Sensing 2017; 100643M (2017) https://doi.org/10.1117/12.2248369
Event: SPIE BiOS, 2017, San Francisco, California, United States

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.

Citation Download Citation

Jenni Tick, Aki Pulkkinen, and Tanja Tarvainen "Bayesian approach to image reconstruction in photoacoustic tomography", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100643M (3 March 2017); https://doi.org/10.1117/12.2248369

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