Publication detail

Segmentation and creating 3D model of temporomandibular condyle

ŠMIRG, O. LIBERDA, O. SMÉKAL, Z.

Original Title

Segmentation and creating 3D model of temporomandibular condyle

English Title

Segmentation and creating 3D model of temporomandibular condyle

Type

conference paper

Language

en

Original Abstract

The article deals with a method for segmenting the articular condyle of the temporomandibular joint from magnetic resonance images. Temporomandibular condyle is segmented by the modified method of marker-controlled watershed. This method is improved by an algorithm for the creation of labels and boundaries of objects based on the analysis of image data. Creating a 3D model has been improved by an algorithm for oversampling the object in the z-axis by cubic spline.

English abstract

The article deals with a method for segmenting the articular condyle of the temporomandibular joint from magnetic resonance images. Temporomandibular condyle is segmented by the modified method of marker-controlled watershed. This method is improved by an algorithm for the creation of labels and boundaries of objects based on the analysis of image data. Creating a 3D model has been improved by an algorithm for oversampling the object in the z-axis by cubic spline.

Keywords

Segmentation, Watershed, 3D models, Marching Cubes, morphology

RIV year

2014

Released

09.07.2015

ISBN

978-80-87397-16-9

Book

37th international conference on telecomunications and signal processing

Pages from

729

Pages to

734

Pages count

6

URL

Documents

BibTex


@inproceedings{BUT110081,
  author="Ondřej {Šmirg} and Ondřej {Liberda} and Zdeněk {Smékal}",
  title="Segmentation and creating 3D model of temporomandibular condyle",
  annote="The article deals with a method for segmenting the articular condyle of the temporomandibular joint from magnetic resonance images. Temporomandibular condyle is segmented by the modified method of marker-controlled watershed. This method is improved by an algorithm for the creation of labels and boundaries of objects based on the analysis of image data. Creating a 3D model has been improved by an algorithm for oversampling the object in the z-axis by cubic spline.",
  booktitle="37th international conference on telecomunications and signal processing",
  chapter="110081",
  doi="10.1109/TSP.2015.7296360",
  howpublished="electronic, physical medium",
  year="2015",
  month="july",
  pages="729--734",
  type="conference paper"
}