About: Automatic Extraction of Pathological Area in 2D MR Brain Scan

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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). 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). (en)
Title	Automatic Extraction of Pathological Area in 2D MR Brain Scan Automatic Extraction of Pathological Area in 2D MR Brain Scan (en)
skos:prefLabel	Automatic Extraction of Pathological Area in 2D MR Brain Scan Automatic Extraction of Pathological Area in 2D MR Brain Scan (en)
skos:notation	RIV/00216305:26220/14:PU110263!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	I P S
http://linked.open...avai/riv/aktivity	I, P(GAP102/12/1104), P(LD14091), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Gescheidtová, Eva Dvořák, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	4596
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/14:PU110263
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Brain Tumor, Image Segmentation, MRI (en)
http://linked.open.../riv/klicoveSlovo	MRI Image Segmentation Brain Tumor
http://linked.open...ontrolniKodProRIV	[832D3A5A565C]
http://linked.open...v/mistoKonaniAkce	Guangzhou
http://linked.open...i/riv/mistoVydani	Guangzhou
http://linked.open...i/riv/nazevZdroje	PIERS 2014 Guangzhou Proceedings
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Primary and soft biometric and non-biometric traits in the de-identification process of audio-visual content in multimedia data Study of metabolism and localization of high grade glioma using MR imaging techniques
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bartušek, Karel Dvořák, Pavel Gescheidtová, Eva
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-08-25 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-934142-28-8
http://localhost/t...ganizacniJednotka	26220

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