A new level-set algorithm for the diffuse optical imaging of the brain

Mathews Jacob, Vlad Toronov, Andrew Webb, Yoram Bresler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a new image reconstruction algorithm for functional near infrared spectroscopic imaging of the brain. Our approach considers the functional changes in the optical properties to be support limited. We simultaneously estimate the values of changes as well as the support from the available measurements. Since this scheme exploits the structure inherent to functional imaging, it provides reconstructions with better spatial resolution and is more robust to noise.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
DOIs
StatePublished - May 9 2006
EventComplex Dynamics and Fluctuations in Biomedical Photonics III - San Jose, CA, United States
Duration: Jan 21 2006Jan 24 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6085
ISSN (Print)0277-786X

Other

OtherComplex Dynamics and Fluctuations in Biomedical Photonics III
CountryUnited States
CitySan Jose, CA
Period1/21/061/24/06

Keywords

  • Brain
  • Inverse problem
  • Optical imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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  • Cite this

    Jacob, M., Toronov, V., Webb, A., & Bresler, Y. (2006). A new level-set algorithm for the diffuse optical imaging of the brain. In Proceedings of SPIE - The International Society for Optical Engineering [60850C] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6085). https://doi.org/10.1117/12.660538