Histogram derived penalty functions in gradient-based optical tomography

A. H. Hielscher, S. Bartel

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

Abstract

It is well known that the image reconstruction problem in optical tomography is ill-posed. In this work we approach the problem within a gradient-based image iterative reconstruction (G11R) scheme. The reconstruction is considered as a minimization of an objective function. This function can be separated into a least-square-error term, which compares predicted and actual detector readings, and additional penalty terms that contain a priori information about the system. In this work penalty functions are considered that are derived from full or partial knowledge of the histogram of the image to be reconstructed.

Original languageEnglish (US)
Title of host publicationBiomedical Optical Spectroscopy and Diagnostics, BOSD 2000
PublisherOptica Publishing Group (formerly OSA)
Pages154-156
Number of pages3
ISBN (Electronic)155752632X
StatePublished - 2000
EventBiomedical Optical Spectroscopy and Diagnostics, BOSD 2000 - Miami Beach, United States
Duration: Apr 2 2000 → …

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceBiomedical Optical Spectroscopy and Diagnostics, BOSD 2000
Country/TerritoryUnited States
CityMiami Beach
Period4/2/00 → …

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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