Detail publikace

Segmentation of NMR image

MIKULKA, J. GESCHEIDTOVÁ, E.

Originální název

Segmentation of NMR image

Anglický název

Segmentation of NMR image

Jazyk

en

Originální abstrakt

The paper describes the segmentation of NMR image of the human head in the region of temporomandibular joint. Images obtained by the tomograph used are of very low resolution and contrast, and processing them can prove to be difficult. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, focusing, and four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable to be applied to the above NMR images, in which no sharp edges occur. The method also has some filtering capability. It is described by partial differential equations that have been transformed into corresponding difference equations, which are solved numerically.

Anglický abstrakt

The paper describes the segmentation of NMR image of the human head in the region of temporomandibular joint. Images obtained by the tomograph used are of very low resolution and contrast, and processing them can prove to be difficult. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, focusing, and four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable to be applied to the above NMR images, in which no sharp edges occur. The method also has some filtering capability. It is described by partial differential equations that have been transformed into corresponding difference equations, which are solved numerically.

Dokumenty

BibTex


@inproceedings{BUT26941,
  author="Jan {Mikulka} and Eva {Gescheidtová}",
  title="Segmentation of NMR image",
  annote="The paper describes the segmentation of NMR image of the human head in the region of temporomandibular joint. Images obtained by the tomograph used are of very low resolution and contrast, and processing them can prove to be difficult. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, focusing, and four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable to be applied to the above NMR images, in which no sharp edges occur. The method also has some filtering capability. It is described by partial differential equations that have been transformed into corresponding difference equations, which are solved numerically.",
  address="UTEE, FEKT VUT v Brně",
  booktitle="Proceedings of the International Workshop on Teleinformatics and Electromagnetic Field",
  chapter="26941",
  howpublished="online",
  institution="UTEE, FEKT VUT v Brně",
  year="2008",
  month="september",
  pages="1--4",
  publisher="UTEE, FEKT VUT v Brně",
  type="conference paper"
}