Detail publikačního výsledku

Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging

MIKULKA, J.; GESCHEIDTOVÁ, E.; BARTUŠEK, K.; FIALA, P.

Original Title

Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging

English Title

Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

segmentation, visualization, human livers, tumors, magnetic resonance, image processing

Key words in English

segmentation, visualization, human livers, tumors, magnetic resonance, image processing

Authors

MIKULKA, J.; GESCHEIDTOVÁ, E.; BARTUŠEK, K.; FIALA, P.

RIV year

2012

Released

20.03.2011

ISBN

1559-9450

Periodical

Progress In Electromagnetics

Volume

2011

Number

2011

State

United States of America

Pages from

1160

Pages to

1162

Pages count

4

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@article{BUT36272,
  author="Jan {Mikulka} and Eva {Gescheidtová} and Karel {Bartušek} and Pavel {Fiala}",
  title="Reconstruction of Tumors in Human Livers by Magnetic Resonance Imaging",
  journal="Progress In Electromagnetics",
  year="2011",
  volume="2011",
  number="2011",
  pages="1160--1162",
  issn="1559-9450"
}