Photoacoustic image reconstruction with uncertainty quantification

被引:2
作者
Tick, J. [1 ]
Pulkkinen, A. [1 ]
Tarvainen, T. [1 ,2 ]
机构
[1] Univ Eastern Finland, Dept Appl Phys, POB 1627, Kuopio 70211, Finland
[2] UCL, Dept Comp Sci, Gower St, London WC1E 6BT, England
来源
EMBEC & NBC 2017 | 2018年 / 65卷
基金
芬兰科学院;
关键词
photoacoustic tomography; inverse problems; Bayesian methods; uncertainty quantification; TOMOGRAPHY; INVERSION; ALGORITHM;
D O I
10.1007/978-981-10-5122-7_29
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:113 / 116
页数:4
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