Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Approximation Errors and Model Reduction in Three-Dimensional Diffuse Optical Tomography

Not Accessible

Your library or personal account may give you access


We apply the Bayesian approximation error model for treatment of model reduction by domain truncation and coarse computation mesh in diffuse optical tomography. The approach is tested with a three-dimensional example using experimental data.

© 2012 Optical Society of America

PDF Article
More Like This
Utilising Approximation Error Modelling in Linear Reconstruction in Diffuse Optical Tomography

Tanja Tarvainen, Ville Kolehmainen, Simon R. Arridge, and Jari P. Kaipio
BTu3A.41 Biomedical Optics (BIOMED) 2012

Approximation Error Approach for Compensating Modelling Errors in Optical Tomography

Tanja Tarvainen, Ville Kolehmainen, Aki Pulkkinen, Marko Vauhkonen, Martin Schweiger, Simon R. Arridge, and Jari P. Kaipio
BSuD48 Biomedical Optics (BIOMED) 2010

Compensating modeling errors of diffusion approximation in quantitative photoacoustic tomography using a Bayesian approach

Niko Hänninen, Aki Pulkkinen, Aleksi Leino, and Tanja Tarvainen
ES2C.1 European Conference on Biomedical Optics (ECBO) 2021

Select as filters

Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved