A hybrid approach for diffuse optical tomography combining evolution strategies and gradient techniques

A. D. Klose, A. H. Hielscher

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

Abstract

Diffuse optical tomography (DOT) can be considered as an optimization problem, in which the minimum of an objective function is sought. The objective function is typically some measure of the difference between the predicted and experimentally obtained detector readings. Most of the optimization techniques that are currently applied in optical tomography employ so-called gradient methods. These methods start from an initial guess of the distribution of optical properties and iteratively update this initial guess along the gradient of the objective function. It is well known that the success of gradient techniques depends strongly on the initial guess. If the guess is not chosen appropriately, the algorithm may not converge or may converge to a local minimum. Evolution strategies are global optimization techniques that depend much less on initial guesses. The drawback of evolution-based codes is that they are computationally expensive. In this work we introduce a hybrid approach that combines the advantages of gradient techniques and evolution strategies. The hybrid algorithm is less dependent on an initial guess and overcomes the computational burden connected to evolution strategies.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Subtitle of host publicationOptical Tomography and Spectroscopy of Tissue IV
Pages11-19
Number of pages9
Volume4250
DOIs
StatePublished - 2001
EventOptical Tomography and Spectroscopy of Tissue IV - San Jose, CA, United States
Duration: Jan 21 2001Jan 23 2001

Publication series

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

Conference

ConferenceOptical Tomography and Spectroscopy of Tissue IV
Country/TerritoryUnited States
CitySan Jose, CA
Period1/21/011/23/01

Keywords

  • Conjugate gradient technique
  • Evolution strategy
  • Global optimization
  • Image reconstruction
  • Optical tomography
  • Scattering media
  • Transport theory

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A hybrid approach for diffuse optical tomography combining evolution strategies and gradient techniques'. Together they form a unique fingerprint.

Cite this