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ČÁP, M.; BARTUŠEK, K.; MARCOŇ, P.
Original Title
Automatic system for MR perfusion images processing
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
perfusion MRI, segmentation, Chan Vese
Key words in English
Authors
RIV year
2014
Released
08.09.2013
Location
Brno, Czech Republic
ISBN
978-80-214-4759-2
Book
International Interdisciplinary PhD Workshop 2013, Proceedings
Pages from
297
Pages to
301
Pages count
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" }