scholarly journals Approximation error method for full-wave tomography

2013 ◽  
Author(s):  
Janne Koponen ◽  
Tomi Huttunen ◽  
Tanja Tarvainen ◽  
Jari Kaipio
Keyword(s):  
Approximation Error ◽  
Full Wave ◽  
Wave Tomography ◽  
Error Method

Approximation error method for full-wave tomography

2013 ◽  
Vol 133 (5) ◽  
pp. 3230-3230 ◽  
Author(s):  
Janne Koponen ◽  
Tomi Huttunen ◽  
Tanja Tarvainen ◽  
Jari Kaipio
Keyword(s):  
Approximation Error ◽  
Full Wave ◽  
Wave Tomography ◽  
Error Method

scholarly journals Image Reconstruction with Reliability Assessment in Quantitative Photoacoustic Tomography

2018 ◽  
Vol 4 (12) ◽  
pp. 148 ◽  
Author(s):  
Niko Hänninen ◽  
Aki Pulkkinen ◽  
Tanja Tarvainen
Keyword(s):  
Approximation Error ◽  
Initial Pressure ◽  
Photoacoustic Tomography ◽  
Imaging Method ◽  
Optical Parameters ◽  
Reconstruction Method ◽  
Reconstruction Procedure ◽  
Modeling Errors ◽  
Bayesian Approximation ◽  
Error Method

Quantitative photoacoustic tomography is a novel imaging method which aims to reconstruct optical parameters of an imaged target based on initial pressure distribution, which can be obtained from ultrasound measurements. In this paper, a method for reconstructing the optical parameters in a Bayesian framework is presented. In addition, evaluating the credibility of the estimates is studied. Furthermore, a Bayesian approximation error method is utilized to compensate the modeling errors caused by coarse discretization of the forward model. The reconstruction method and the reliability of the credibility estimates are investigated with two-dimensional numerical simulations. The results suggest that the Bayesian approach can be used to obtain accurate estimates of the optical parameters and the credibility estimates of these parameters. Furthermore, the Bayesian approximation error method can be used to compensate for the modeling errors caused by a coarse discretization, which can be used to reduce the computational costs of the reconstruction procedure. In addition, taking the modeling errors into account can increase the reliability of the credibility estimates.

Bayesian approximation error approach in full-wave ultrasound tomography

2014 ◽  
Vol 61 (10) ◽  
pp. 1627-1637 ◽  
Author(s):  
Janne Koponen ◽  
Tomi Huttunen ◽  
Tanja Tarvainen ◽  
Jari Kaipio
Keyword(s):  
Approximation Error ◽  
Ultrasound Tomography ◽  
Full Wave ◽  
Bayesian Approximation

Importance sampling approach for the nonstationary approximation error method

2010 ◽  
Vol 26 (12) ◽  
pp. 125003 ◽  
Author(s):  
J M J Huttunen ◽  
A Lehikoinen ◽  
J Hämäläinen ◽  
J P Kaipio
Keyword(s):  
Importance Sampling ◽  
Approximation Error ◽  
Error Method ◽  
Sampling Approach

Approximation error method can reduce artifacts due to scalp blood flow in optical brain activation imaging

2012 ◽  
Vol 17 (9) ◽  
pp. 0960121 ◽  
Author(s):  
Juha Heiskala ◽  
Ville Kolehmainen ◽  
Tanja Tarvainen ◽  
Jari. P. Kaipio ◽  
Simon R. Arridge
Keyword(s):  
Blood Flow ◽  
Approximation Error ◽  
Brain Activation ◽  
Error Method

Importance Sampling Approach for the Nonstationary Approximation Error Method

2010 ◽  
Author(s):  
J. M. J. Huttunen ◽  
A. Lehikoinen ◽  
J. Hämäläinen ◽  
J. P. Kaipio ◽  
Theodore E. Simos ◽  
...  
Keyword(s):  
Importance Sampling ◽  
Approximation Error ◽  
Error Method ◽  
Sampling Approach

Lamb Wave Tomography and Its Application in Pipe Erosion/Corrosion Monitoring

1996 ◽  
Vol 8 (1) ◽  
pp. 189-197
Author(s):  
J. Pei ◽  
M. I. Yousuf ◽  
F. L. Degertekin ◽  
B. V. Honein ◽  
B. T. Khuri-Yakub
Keyword(s):  
Lamb Wave ◽  
Corrosion Monitoring ◽  
Erosion Corrosion ◽  
Wave Tomography
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