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ČÁP, M. BARTUŠEK, K. MARCOŇ, P.
Original Title
Automatic system for MR perfusion images processing
Type
conference paper
Language
English
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.
Keywords
perfusion MRI, segmentation, Chan Vese
Authors
ČÁP, M.; BARTUŠEK, K.; MARCOŇ, P.
RIV year
2013
Released
8. 9. 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" }