Publication detail

Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Images

KOLÁŘ, R. TAŠEVSKÝ, P.

Original Title

Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Images

English Title

Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Images

Type

conference paper

Language

en

Original Abstract

This paper is focused on multimodal and multidimensional image data registration: the three-dimensional retinal optical coherence tomographic (OCT) data and two-dimensional color images of fundus. The registration of these two modalities is not common in retinal image processing, but it might help to remove the moving artifacts in OCT and correct the true positions of acquired OCT scans on retina. The pro- posed framework consists of three steps: global dataset pre-registration, preprocessing and OCT to fundus image registration. Two alternating registration criteria are used in the main step due to changing spatial image properties. Three-parametric spatial transformation (shift and scale) for each OCT scan and exhaustive search is used in this preliminarily work. The achieved results are presented on several examples.

English abstract

This paper is focused on multimodal and multidimensional image data registration: the three-dimensional retinal optical coherence tomographic (OCT) data and two-dimensional color images of fundus. The registration of these two modalities is not common in retinal image processing, but it might help to remove the moving artifacts in OCT and correct the true positions of acquired OCT scans on retina. The pro- posed framework consists of three steps: global dataset pre-registration, preprocessing and OCT to fundus image registration. Two alternating registration criteria are used in the main step due to changing spatial image properties. Three-parametric spatial transformation (shift and scale) for each OCT scan and exhaustive search is used in this preliminarily work. The achieved results are presented on several examples.

Keywords

image registration, OCT, fundus, retina

RIV year

2010

Released

01.07.2010

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

2010

Number

6204

State

DE

Pages from

72

Pages to

82

Pages count

11

Documents

BibTex 


@inproceedings{BUT35437,
  author="Radim {Kolář} and Pavel {Taševský}",
  title="Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Images",
  annote="This paper is focused on multimodal and multidimensional image data registration: the three-dimensional retinal optical coherence tomographic (OCT) data and two-dimensional color images of fundus. The registration of these two modalities is not common in retinal image processing, but it might help to remove the moving artifacts in OCT and correct the true positions of acquired OCT scans on retina. The pro- posed framework consists of three steps: global dataset pre-registration, preprocessing and OCT to fundus image registration. Two alternating registration criteria are used in the main step due to changing spatial image properties. Three-parametric spatial transformation (shift and scale) for each OCT scan and exhaustive search is used in this preliminarily work. The achieved results are presented on several examples.",
  booktitle="Biomedical Image registration",
  chapter="35437",
  howpublished="print",
  journal="Lecture Notes in Computer Science",
  number="6204",
  year="2010",
  month="july",
  pages="72--82",
  type="conference paper"
}