Model based quantification of tissue structural properties using optical coherence tomography

Cecília Lantos, Rafik Borji, Stéphane Douady, Karolos Grigoriadis, Kirill Larin, Matthew A. Franchek

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

Abstract

Optical Coherence Tomography is an optical imaging technique providing subsurface structural images with a resolution at histological level. It has been widely studied and applied in both research and clinical practice with special interest in cancer diagnosis. One of the major queries today is to represent the images in a standardized way. To this aim the qualitative image recorded on the tissue will be transformed into a quantitative model. The solution provided here is able to diagnose healthy versus cancerous tissue independently from the measurement settings.

Original languageEnglish (US)
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages113-134
Number of pages22
Volume511
ISBN (Print)9783319261287
DOIs
StatePublished - 2015
Event7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, France
Duration: Mar 3 2014Mar 6 2014

Publication series

NameCommunications in Computer and Information Science
Volume511
ISSN (Print)18650929

Other

Other7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
CountryFrance
CityAngers
Period3/3/143/6/14

Keywords

  • Cancer
  • Imaging
  • Liposarcoma
  • Model-based
  • Optical coherence tomography
  • Tissue characterization medical diagnostics

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Model based quantification of tissue structural properties using optical coherence tomography'. Together they form a unique fingerprint.

Cite this