Research Papers: General

Nonlinear approach to difference imaging in diffuse optical tomography

[+] Author Affiliations
Meghdoot Mozumder, Aku Seppänen, Ville Kolehmainen

University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, Kuopio 70211, Finland

Tanja Tarvainen

University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, Kuopio 70211, Finland

University College London, Department of Computer Science, Gower Street, London WC1E 6BT, United Kingdom

Ilkka Nissilä

Aalto University School of Science, Department of Neuroscience and Biomedical Engineering, P.O. Box 12200, Aalto 00076, Finland

Helsinki University Central Hospital, HUS Medical Imaging Center, BioMag Laboratory, P.O. Box 340, HUS 00029, Finland

Simon R. Arridge

University College London, Department of Computer Science, Gower Street, London WC1E 6BT, United Kingdom

J. Biomed. Opt. 20(10), 105001 (Oct 06, 2015). doi:10.1117/1.JBO.20.10.105001
History: Received June 3, 2015; Accepted September 2, 2015
Text Size: A A A

Abstract.  Difference imaging aims at recovery of the change in the optical properties of a body based on measurements before and after the change. Conventionally, the image reconstruction is based on using difference of the measurements and a linear approximation of the observation model. One of the main benefits of the linearized difference reconstruction is that the approach has a good tolerance to modeling errors, which cancel out partially in the subtraction of the measurements. However, a drawback of the approach is that the difference images are usually only qualitative in nature and their spatial resolution can be weak because they rely on the global linearization of the nonlinear observation model. To overcome the limitations of the linear approach, we investigate a nonlinear approach for difference imaging where the images of the optical parameters before and after the change are reconstructed simultaneously based on the two datasets. We tested the feasibility of the method with simulations and experimental data from a phantom and studied how the approach tolerates modeling errors like domain truncation, optode coupling errors, and domain shape errors.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Meghdoot Mozumder ; Tanja Tarvainen ; Aku Seppänen ; Ilkka Nissilä ; Simon R. Arridge, et al.
"Nonlinear approach to difference imaging in diffuse optical tomography", J. Biomed. Opt. 20(10), 105001 (Oct 06, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.10.105001


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.