A PDE-constrained optimization approach to optical tomography

Xuejun Gu, Andreas H. Hielscher

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


We report on the first formulation of the inverse problem in optical tomography within the framework of PDE-constrained optimization and combine Newton's method for numerical optimization with a Krylov subspace solver. This approach leads to reduced memory requirements and increased convergence speed.

Original languageEnglish (US)
Title of host publicationBiomedical Optics, BIOMED 2008
StatePublished - 2008
EventBiomedical Optics, BIOMED 2008 - St. Petersburg, FL, United States
Duration: Mar 16 2008Mar 19 2008


OtherBiomedical Optics, BIOMED 2008
Country/TerritoryUnited States
CitySt. Petersburg, FL

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biomaterials
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics


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