Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F14%3A00437793" target="_blank" >RIV/68081731:_____/14:00437793 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/14:PU110832

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-11755-3_27" target="_blank" >http://dx.doi.org/10.1007/978-3-319-11755-3_27</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-11755-3_27" target="_blank" >10.1007/978-3-319-11755-3_27</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

Popis výsledku v původním jazyce

This work deals with the fully automatic extraction of a glioma, the most common type of brain tumor, in multi-contrast 3D magnetic resonance volumes. The detection is based on the locating the area that breaks the left-right symmetry of the brain. The proposed method uses multi-contrast MRI, where FLAIR and T2-weighted volumes are employed. The algorithm was designed to extract the whole pathology as one region. The created algorithm was tested on 80 volumes from publicly available BRATS databases containing multi-contrast 3D brain volumes afflicted by a brain tumor. These pathological structures had various sizes and shapes and were located in various parts of the brain. The extraction process was evaluated by Dice Coefficient(0.75). The proposed algorithm detected and extracted multifocal tumors as separated regions as well.

Název v anglickém jazyce

Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

Popis výsledku anglicky

This work deals with the fully automatic extraction of a glioma, the most common type of brain tumor, in multi-contrast 3D magnetic resonance volumes. The detection is based on the locating the area that breaks the left-right symmetry of the brain. The proposed method uses multi-contrast MRI, where FLAIR and T2-weighted volumes are employed. The algorithm was designed to extract the whole pathology as one region. The created algorithm was tested on 80 volumes from publicly available BRATS databases containing multi-contrast 3D brain volumes afflicted by a brain tumor. These pathological structures had various sizes and shapes and were located in various parts of the brain. The extraction process was evaluated by Dice Coefficient(0.75). The proposed algorithm detected and extracted multifocal tumors as separated regions as well.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Image Analysis and Recognition. Proceedings of the 11th International Conference, ICIAR 2014

ISBN

978-3-319-11755-3

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

239-246

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Vilamoura

Datum konání akce

22. 10. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000345576900027