Automatic Extraction of Pathological Area in 2D MR Brain Scan
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110263" target="_blank" >RIV/00216305:26220/14:PU110263 - isvavai.cz</a>
Alternative codes found
RIV/68081731:_____/14:00432484
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Extraction of Pathological Area in 2D MR Brain Scan
Original language description
The aim of this work is to propose the fully automated pathological area extraction. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The multi-contrast MRI (T2 and FLAIR images) is used. Since the method is based on symmetry, it works for both axial and coronal planes. In these both planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. The algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D brain volumes afflicted by a brain tumor. The results were evaluated by Dice Coefficient (axial: 0.85, coronal: 0.82) and by Accuracy (axial: 0.96, coronal: 0.94).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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)<br>S - Specificky vyzkum na vysokych skolach
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
PIERS 2014 Guangzhou Proceedings
ISBN
978-1-934142-28-8
ISSN
1559-9450
e-ISSN
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Number of pages
4
Pages from-to
1885-1889
Publisher name
Neuveden
Place of publication
Guangzhou
Event location
Guangzhou
Event date
Aug 25, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000393225900418