Anatomical regularization methods for Optical Tomography

Sebastian Bartel, Alexander D. Klose, Andreas H. Hielscher

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

Abstract

The choice of an appropriate regularization method is of crucial importance in Optical Tomography, since this image problem is highly ill-posed. In this work we approach the regularization problem within an iterative image iterative reconstruction scheme. The image reconstruction is considered as a minimization of an appropriately defined objective function. The objective function is composed of a least-square-error term, which compares predicted and actual detector readings, and additional regularization terms. Choosing regularization functions that include some basic anatomical information can lead to significant improvement in the image reconstruction results.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages1094
Number of pages1
ISBN (Print)0780356756
StatePublished - 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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