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DVOŘÁK, P. BARTUŠEK, K. SMÉKAL, Z.
Original Title
Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images
Type
journal article in Web of Science
Language
English
Original Abstract
This work deals with fully automated extraction of brain tumor and edema in 3D MR volumes. The goal of this work is the extraction of the whole pathological area using such an algorithm that does not require a human intervention. For the good visibility of these kinds of tissues both T2-weighted and FLAIR images were used. The proposed method was tested on 80 MR volumes of publicly available BRATS database, which contains high and low grade gliomas, both real and simulated. The performance was evaluated by Dice coefficient, where the results were differentiated between high and low grade and real and simulated gliomas. The method reached promising results for all of the combination of images: real high grade (0.73), real low grade (0.81), simulated high grade (0.81), simulated low grade (0.81).
Keywords
Brain tumor, Brain tumor segmentation, Extraction, Magnetic Resonance, MRI, Pathology, Segmentation, Symmetry analysis.
Authors
DVOŘÁK, P.; BARTUŠEK, K.; SMÉKAL, Z.
RIV year
2014
Released
20. 11. 2014
Publisher
Walter de Gruyter
ISBN
1335-8871
Periodical
Measurement Science Review
Year of study
14
Number
6
State
Slovak Republic
Pages from
357
Pages to
364
Pages count
8
URL
https://www.sciendo.com/article/10.2478/msr-2014-0049
Full text in the Digital Library
http://hdl.handle.net/11012/200916
BibTex
@article{BUT109899, author="Pavel {Dvořák} and Karel {Bartušek} and Zdeněk {Smékal}", title="Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images", journal="Measurement Science Review", year="2014", volume="14", number="6", pages="357--364", doi="10.2478/msr-2014-0049", issn="1335-8871", url="https://www.sciendo.com/article/10.2478/msr-2014-0049" }