Publication detail

Bone tissue surface reconstruction and analysis from Swept Source OCT images

ČMIEL, V. KUNA, Z. SEKORA, J. BALOGH, J. PROVAZNÍK, I.

Original Title

Bone tissue surface reconstruction and analysis from Swept Source OCT images

English Title

Bone tissue surface reconstruction and analysis from Swept Source OCT images

Type

conference paper

Language

en

Original Abstract

In our study Swept Source OCT images were used to bone tissue surface reconstruction and analysis. Image processing was used to find object bor-ders with the air in each OCT slide. The tissue surface was reconstructed using Marching Cubes algorithm. Following surface analysis was made from extracted image borders. Least squares method between located border and polynomials up to 50th order was tested.

English abstract

In our study Swept Source OCT images were used to bone tissue surface reconstruction and analysis. Image processing was used to find object bor-ders with the air in each OCT slide. The tissue surface was reconstructed using Marching Cubes algorithm. Following surface analysis was made from extracted image borders. Least squares method between located border and polynomials up to 50th order was tested.

Keywords

oct, swept source, reconstruction, visualization

RIV year

2012

Released

14.07.2012

Location

Řecko

ISBN

978-618-5009-04-5

Book

PROCEEDINGS of the 10th International Conference on INFORMATION COMMUNICATION TECHNOLOGIES IN HEALTH

Pages from

291

Pages to

298

Pages count

7

BibTex


@inproceedings{BUT92776,
  author="Vratislav {Čmiel} and Zdeněk {Kuna} and Jiří {Sekora} and Jaroslav {Balogh} and Ivo {Provazník}",
  title="Bone tissue surface reconstruction and analysis from Swept Source OCT images",
  annote="In our study Swept Source OCT images were used to bone tissue surface reconstruction and analysis. Image processing was used to find object bor-ders with the air in each OCT slide. The tissue surface was reconstructed using Marching Cubes algorithm. Following surface analysis was made from extracted image borders. Least squares method between located border and polynomials up to 50th order was tested.",
  booktitle="PROCEEDINGS of the 10th International Conference on INFORMATION COMMUNICATION TECHNOLOGIES IN HEALTH",
  chapter="92776",
  howpublished="print",
  year="2012",
  month="july",
  pages="291--298",
  type="conference paper"
}