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Description
  • Texture-based segmentation of 3D CT images is adressed. The extension of Haralick 2D texture features to the 3D domain was studied. The co-occurrence matrix was calculated separately for each voxel in the image, using the co-occurrences of all voxels in a small cubic region around the voxel. The segmentation method used was model-based with a Gaussian Mixture Model. Evaluation of the proposed approach was performed using a set of 3D abdominal CT images. Statistical improvement of segmentation with 3D texture features was observed as opposed to the case without those features.
  • Texture-based segmentation of 3D CT images is adressed. The extension of Haralick 2D texture features to the 3D domain was studied. The co-occurrence matrix was calculated separately for each voxel in the image, using the co-occurrences of all voxels in a small cubic region around the voxel. The segmentation method used was model-based with a Gaussian Mixture Model. Evaluation of the proposed approach was performed using a set of 3D abdominal CT images. Statistical improvement of segmentation with 3D texture features was observed as opposed to the case without those features. (en)
  • Tato práce se zabývá segmentací 3D CT medicínských obrázků. Byla použita extenze Haralickových dvourozměrných texturních příznaků na třetí dimenzi. Ko-okurenční matice se počítá pro každí voxel zvlášt, na základě ko-okurencí v jeho okolí. Segmentace se provádí pomocí Gaussovského směsového modelu. Vyhodnocení metody bylo provedeno s použitím abdominálních 3D CT obrázků. Bylo pozorováno zlepšení segmentace pomocí 3D texturních příznaků oproti segmenaci bez nich. (cs)
Title
  • Medical image analysis of 3D CT images based on extensions of Haralick texture features
  • Analýza trojrozměrných CT medicínských obrázků pomocí rozšíření Haralickových texturních příznaků (cs)
  • Medical image analysis of 3D CT images based on extensions of Haralick texture features (en)
skos:prefLabel
  • Medical image analysis of 3D CT images based on extensions of Haralick texture features
  • Analýza trojrozměrných CT medicínských obrázků pomocí rozšíření Haralickových texturních příznaků (cs)
  • Medical image analysis of 3D CT images based on extensions of Haralick texture features (en)
skos:notation
  • RIV/67985556:_____/08:00313710!RIV09-MSM-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101050403), P(1M0572), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika
  • 6
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
  • 378361
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/08:00313710
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image segmentation; Gaussian mixture model; 3D image analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [4178A17676FD]
http://linked.open...i/riv/nazevZdroje
  • Computerized Medical Imaging and Graphics
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...v/svazekPeriodika
  • 32
http://linked.open...iv/tvurceVysledku
  • Smutek, D.
  • Tesař, Ludvík
  • Kobatake, H.
  • Nawano, S.
  • Shimizu, A.
http://linked.open...ain/vavai/riv/wos
  • 000258739700009
http://linked.open...n/vavai/riv/zamer
issn
  • 0895-6111
number of pages
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