Detail publikace

Automatic system for MR perfusion images processing

ČÁP, M. BARTUŠEK, K. MARCOŇ, P.

Originální název

Automatic system for MR perfusion images processing

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article describes automated detection and segmentation of the tumor and tumor edema. Automated detection of the tumor tissue area is based on the human brain symmetry. Healthy brain has a strong sagittal symmetry. Assuming the tumor is not placed symmetrically in both hemispheres, is possible use this method for its detection. Tumor area is evaluated from image which is obtained by summing partial results from all T2 weighted images. Segmentation and precise etection of the tumor in the by previous step marked area is based on Chan Vese algorithm. Segmentation is provided in T1 and T2 weighted images in order to achieve highest precision on the tumor border. Resulting masks are transformed into perfusion image coordinates and applied to the various perfusion maps.

Klíčová slova

perfusion MRI, segmentation, Chan Vese

Autoři

ČÁP, M.; BARTUŠEK, K.; MARCOŇ, P.

Rok RIV

2013

Vydáno

8. 9. 2013

Místo

Brno, Czech Republic

ISBN

978-80-214-4759-2

Kniha

International Interdisciplinary PhD Workshop 2013, Proceedings

Strany od

297

Strany do

301

Strany počet

5

BibTex

@inproceedings{BUT102216,
  author="Martin {Čáp} and Karel {Bartušek} and Petr {Marcoň}",
  title="Automatic system for MR perfusion images processing",
  booktitle="International Interdisciplinary PhD Workshop 2013, Proceedings",
  year="2013",
  pages="297--301",
  address="Brno, Czech Republic",
  isbn="978-80-214-4759-2"
}