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  • 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 (en)
Title
  • Processing of NMR Slices for Preparation of Multi-dimensional Model
  • Processing of NMR Slices for Preparation of Multi-dimensional Model (en)
skos:prefLabel
  • Processing of NMR Slices for Preparation of Multi-dimensional Model
  • Processing of NMR Slices for Preparation of Multi-dimensional Model (en)
skos:notation
  • RIV/00216305:26220/08:PU75628!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/0389), P(GA102/07/1086), Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 390059
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/08:PU75628
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D model, level set segmentation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [90461C799FF4]
http://linked.open...v/mistoKonaniAkce
  • Singapore
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 13th International Conference on Biomedical Engineering (ICBME2008)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bartušek, Karel
  • Gescheidtová, Eva
  • Mikulka, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000268245600045
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-3-540-92840-9
http://localhost/t...ganizacniJednotka
  • 26220
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