Publication detail

Analysis of images from optical coherence tomography for the nanoparticle transport

KOLÁŘ, R. PODLIPNÁ, P.

Original Title

Analysis of images from optical coherence tomography for the nanoparticle transport

English Title

Analysis of images from optical coherence tomography for the nanoparticle transport

Type

conference paper

Language

en

Original Abstract

This paper describes an analysis of contrast image sequences from optical coherence tomography. The application of bare nanoparticles in unique single fibre flow phantom is performed in order to examine their spatial and temporal behaviour inside the fibre and the wall of the fibre. The speckle variance method is used to show its usefulness in analysis of contrast OCT sequences.

English abstract

This paper describes an analysis of contrast image sequences from optical coherence tomography. The application of bare nanoparticles in unique single fibre flow phantom is performed in order to examine their spatial and temporal behaviour inside the fibre and the wall of the fibre. The speckle variance method is used to show its usefulness in analysis of contrast OCT sequences.

Keywords

optical coherence tomography, flow, nanoparticles, speckle

RIV year

2014

Released

01.07.2014

Publisher

BMVA

Location

London

ISBN

1-901725-51-0

Book

Medical Image Understanding and Analysis

Pages from

215

Pages to

221

Pages count

6

Documents

BibTex 


@inproceedings{BUT110275,
  author="Radim {Kolář} and Petra {Štohanzlová}",
  title="Analysis of images from optical coherence tomography for the nanoparticle transport",
  annote="This paper describes an analysis of contrast image sequences from optical coherence tomography. The application of bare nanoparticles in unique single fibre flow phantom is performed in order to examine their spatial and temporal behaviour inside the fibre and the wall of the fibre. The speckle variance method is used to show its usefulness in analysis of contrast OCT sequences.",
  address="BMVA",
  booktitle="Medical Image Understanding and Analysis",
  chapter="110275",
  howpublished="print",
  institution="BMVA",
  year="2014",
  month="july",
  pages="215--221",
  publisher="BMVA",
  type="conference paper"
}