Detail publikace

Statistically Based Segmentation of Medical Images and Their Visualisation.

SCHWARZ, D. PROVAZNÍK, I.

Anglický název

Statistically Based Segmentation of Medical Images and Their Visualisation.

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

Originální abstrakt

Visualisation of 3D medical images from CT and MR is the aim of this paper. As the interpretation of resulting images is a quite important problem for medical purposes segmentation techniques are included here too. They are demanded to be simple enough to prevent them making slower the whole process of visualisation. A volume rendering method called Ray casting is presented here as a suitable algorithm for visualisation voxel based medical image data.

Anglický abstrakt

Visualisation of 3D medical images from CT and MR is the aim of this paper. As the interpretation of resulting images is a quite important problem for medical purposes segmentation techniques are included here too. They are demanded to be simple enough to prevent them making slower the whole process of visualisation. A volume rendering method called Ray casting is presented here as a suitable algorithm for visualisation voxel based medical image data.

Klíčová slova anglicky

3D visualization, CT, MR, multimodal registration, pattern recognition, segmentation, image processing

Rok RIV

2001

Vydáno

11.09.2001

Nakladatel

Silesian University of Technology

Místo

Gliwice, Poland

ISBN

80-214-0893-6

Kniha

VI International Conference PROCEEDINGS Symbiosis 2001

Číslo edice

1.

Počet stran

5

BIBTEX


@inproceedings{BUT3175,
  author="Daniel {Schwarz} and Valentýna {Provazník},
  title="Statistically Based Segmentation of Medical Images and Their Visualisation.",
  booktitle="VI International Conference PROCEEDINGS Symbiosis 2001",
  year="2001",
  month="September",
  publisher="Silesian University of Technology",
  address="Gliwice, Poland",
  isbn="80-214-0893-6"
}