Detail publikace
Segmentation of NMR image in temporomandibular joint region
MIKULKA, J. GESCHEIDTOVÁ, E.
Originální název
Segmentation of NMR image in temporomandibular joint region
Anglický název
Segmentation of NMR image in temporomandibular joint region
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{BUT26839,
author="Jan {Mikulka} and Eva {Gescheidtová}",
title="Segmentation of NMR image in temporomandibular joint region",
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="Asszisztencia Szervezo Kft.",
booktitle="31th International Conference on Telecommunications and Signal Processing - TSP'2008",
chapter="26839",
howpublished="online",
institution="Asszisztencia Szervezo Kft.",
year="2008",
month="september",
pages="14--17",
publisher="Asszisztencia Szervezo Kft.",
type="conference paper"
}