Detail publikačního výsledku

Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images

DVOŘÁK, P.; BARTUŠEK, K.; SMÉKAL, Z.

Originální název

Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images

Anglický název

Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images

Druh

Článek WoS

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).

Anglický 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.

Klíčová slova v angličtině

Brain tumor, Brain tumor segmentation, Extraction, Magnetic Resonance, MRI, Pathology, Segmentation, Symmetry analysis.

Autoři

DVOŘÁK, P.; BARTUŠEK, K.; SMÉKAL, Z.

Rok RIV

2015

Vydáno

20.11.2014

Nakladatel

Walter de Gruyter

ISSN

1335-8871

Periodikum

Measurement Science Review

Svazek

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"
}

Dokumenty

10.2478_msr-2014-0049