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DVOŘÁK, P. BARTUŠEK, K. SMÉKAL, Z.
Originální název
Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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).
Klíčová slova
Brain tumor, Brain tumor segmentation, Extraction, Magnetic Resonance, MRI, Pathology, Segmentation, Symmetry analysis.
Autoři
DVOŘÁK, P.; BARTUŠEK, K.; SMÉKAL, Z.
Rok RIV
2014
Vydáno
20. 11. 2014
Nakladatel
Walter de Gruyter
ISSN
1335-8871
Periodikum
Measurement Science Review
Ročník
14
Číslo
6
Stát
Slovenská republika
Strany od
357
Strany do
364
Strany počet
8
URL
https://www.sciendo.com/article/10.2478/msr-2014-0049
Plný text v Digitální knihovně
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" }