Fully Automatic 3D Glioma Extraction in Multi-contrast MRI
The result's identifiers
Result code in 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>
Alternative codes found
RIV/00216305:26220/14:PU110832
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Fully Automatic 3D Glioma Extraction in Multi-contrast MRI
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Image Analysis and Recognition. Proceedings of the 11th International Conference, ICIAR 2014
ISBN
978-3-319-11755-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
239-246
Publisher name
Springer
Place of publication
Berlin
Event location
Vilamoura
Event date
Oct 22, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000345576900027