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Description
  • This article deals with three-dimensional reconstruction and visualization of segmented images of human liver with tumors. The source images were observed by standard hospital MR tomography equipment. There were acquired many slices of the liver area in all three planes. There were found the segmentation methods based on level set approach with many advantages. The resultant boundaries found by these methods are closed curves and bounds the whole tumor. The segmentation consists of automated processing of each slice. The found boundaries are consequently used for 3D image creation and the liver tumor is visualized in Matlab environment. The volume of the tumor is calculated and compared with the results of volume evaluation after manual boundary tracing. The algorithms are prepared for implementation to C++ application for medical usage.
  • This article deals with three-dimensional reconstruction and visualization of segmented images of human liver with tumors. The source images were observed by standard hospital MR tomography equipment. There were acquired many slices of the liver area in all three planes. There were found the segmentation methods based on level set approach with many advantages. The resultant boundaries found by these methods are closed curves and bounds the whole tumor. The segmentation consists of automated processing of each slice. The found boundaries are consequently used for 3D image creation and the liver tumor is visualized in Matlab environment. The volume of the tumor is calculated and compared with the results of volume evaluation after manual boundary tracing. The algorithms are prepared for implementation to C++ application for medical usage. (en)
Title
  • Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging
  • Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging (en)
skos:prefLabel
  • Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging
  • Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging (en)
skos:notation
  • RIV/00216305:26220/11:PU91606!RIV15-GA0-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/0314), P(GAP102/11/0318)
http://linked.open...iv/cisloPeriodika
  • 2011
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
  • 225979
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU91606
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • segmentation, visualization, human livers, tumors, magnetic resonance, image processing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [CE4FA5ECFC32]
http://linked.open...i/riv/nazevZdroje
  • Progress In Electromagnetics
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
  • 2011
http://linked.open...iv/tvurceVysledku
  • Bartušek, Karel
  • Fiala, Pavel
  • Gescheidtová, Eva
  • Mikulka, Jan
issn
  • 1559-9450
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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