Publication detail

Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation

ŠPANĚL, M. KRŠEK, P.

Original Title

Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

The image segmentation plays an important role in medical image processing. Many segmentation algorithms exists. Most of them produce raster data which is not suitable for further 3D geometrical modeling of tissues. In this paper, a vector segmentation algorithm based on an adaptive Delaunay triangulation is proposed. Triangular meshes are used to divide an image into several non-overlapping regions whose characteristics are similar. Novel methods for improving quality of the mesh and its adaptation to the image structure are also presented.

Keywords

CT/MR data, image segmentation, 3D geometrical model, vector-based segmentation, Delaunay triangulation

Authors

ŠPANĚL, M.; KRŠEK, P.

RIV year

2006

Released

1. 9. 2006

Publisher

ACTA Press

Location

Palma de Mallorca

ISBN

0-88986-600-7

Book

Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing

Edition

541

Pages from

1

Pages to

6

Pages count

6

URL

https://www.fit.vut.cz/research/publication/8150/

BibTex

@inproceedings{BUT22252,
  author="Michal {Španěl} and Přemysl {Kršek}",
  title="Vector-based Medical Image Segmentation using Adaptive Delaunay Triangulation",
  booktitle="Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing",
  year="2006",
  series="541",
  pages="1--6",
  publisher="ACTA Press",
  address="Palma de Mallorca",
  isbn="0-88986-600-7",
  url="https://www.fit.vut.cz/research/publication/8150/"
}

Documents

spanel_krsek_viip06.pdf