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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F09%3APU82472%21RIV09-GA0-26220___
rdf:type
n18:Vysledek skos:Concept
dcterms:description
The paper describes the pre-processing and subsequent segmentation of NMR images of the human head in the region of temporomandibular joint in several slices. Image obtained by means of the tomograph used are of very low resolution and contrast, and their processing may prove to be difficult. A suitable algorithm was found, which consists in pre-processing the image by a smoothing filter, sharpening, and the four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable for processing the above-mentioned NMR images, in which there are no sharp edges. 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. In the next stage, segmented slices of temporomandibular joint will be used to create a multidimensional model. A spatial model gives a better idea of the situation, structure and properties of tissu The paper describes the pre-processing and subsequent segmentation of NMR images of the human head in the region of temporomandibular joint in several slices. Image obtained by means of the tomograph used are of very low resolution and contrast, and their processing may prove to be difficult. A suitable algorithm was found, which consists in pre-processing the image by a smoothing filter, sharpening, and the four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable for processing the above-mentioned NMR images, in which there are no sharp edges. 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. In the next stage, segmented slices of temporomandibular joint will be used to create a multidimensional model. A spatial model gives a better idea of the situation, structure and properties of tissu The paper describes the pre-processing and subsequent segmentation of NMR images of the human head in the region of temporomandibular joint in several slices. Image obtained by means of the tomograph used are of very low resolution and contrast, and their processing may prove to be difficult. A suitable algorithm was found, which consists in pre-processing the image by a smoothing filter, sharpening, and the four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable for processing the above-mentioned NMR images, in which there are no sharp edges. 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. In the next stage, segmented slices of temporomandibular joint will be used to create a multidimensional model. A spatial model gives a better idea of the situation, structure and properties of tissu
dcterms:title
Segmentation of NMR slices and 3D modeling of temporomandibular joint Segmentace NMR řezů a 3D modelování čelistního kloubů Segmentation of NMR slices and 3D modeling of temporomandibular joint
skos:prefLabel
Segmentation of NMR slices and 3D modeling of temporomandibular joint Segmentace NMR řezů a 3D modelování čelistního kloubů Segmentation of NMR slices and 3D modeling of temporomandibular joint
skos:notation
RIV/00216305:26220/09:PU82472!RIV09-GA0-26220___
n4:aktivita
n20:Z n20:P
n4:aktivity
P(GA102/07/0389), P(GA102/07/1086), Z(MSM0021630513)
n4:dodaniDat
n13:2009
n4:domaciTvurceVysledku
n11:5918367 n11:4095499 n11:1157000
n4:druhVysledku
n7:D
n4:duvernostUdaju
n14:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
340555
n4:idVysledku
RIV/00216305:26220/09:PU82472
n4:jazykVysledku
n5:eng
n4:klicovaSlova
level set segmentation, temporomandibular joint, 3D modeling
n4:klicoveSlovo
n16:3D%20modeling n16:temporomandibular%20joint n16:level%20set%20segmentation
n4:kontrolniKodProRIV
[604DCB698319]
n4:mistoKonaniAkce
Beijing
n4:mistoVydani
Cambridge
n4:nazevZdroje
Progress in Electromagnetic Research Symposium
n4:obor
n6:JA
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:projekt
n12:GA102%2F07%2F0389 n12:GA102%2F07%2F1086
n4:rokUplatneniVysledku
n13:2009
n4:tvurceVysledku
Mikulka, Jan Gescheidtová, Eva Bartušek, Karel
n4:typAkce
n8:WRD
n4:zahajeniAkce
2009-03-23+01:00
n4:zamer
n19:MSM0021630513
s:issn
1559-9450
s:numberOfPages
5
n21:hasPublisher
The Electromagnetic Academy
n9:organizacniJednotka
26220