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Detail publikačního výsledku
ČÁP, M.; BARTUŠEK, K.; MARCOŇ, P.
Originální název
Automatic system for MR perfusion images processing
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
perfusion MRI, segmentation, Chan Vese
Klíčová slova v angličtině
Autoři
Rok RIV
2014
Vydáno
08.09.2013
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" }