Abstract

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

Compensation of optode position and sensitivity errors in diffuse optical tomography

Meghdoot Mozumder, Tanja Tarvainen, Simon R. Arridge, Jari P. Kaipio, and Ville Kolehmainen
BM3A.76 Biomedical Optics (BIOMED) 2014

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription