About: 3D Brain Tissue Selection and Segmentation from MRI

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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	Magnetic resonance imaging (MRI) is a visualizing method used in radiology that enables viewing internal structures of the body. Using several mathematical methods with data retrieved from MRI it is possible to quantify the brain compartment volume, which has many applications in cognitive, clinical and comparative neurosciences. This paper introduces a new fully automatic method, which can measure the volume of brain tissue using scans obtained from MRI devices. The method introduced in this paper was trained on data taken from 12 patients and the trained result was validated on other independent data obtained from 10 patients and compared to a human experts accuracy. The result achieves 99.407 % +/- 0.062 voxel error accuracy, which is comparable to results achieved by humans (99.540 % + 0.0775) but in a significantly shorter time and without the need of human involvement. Magnetic resonance imaging (MRI) is a visualizing method used in radiology that enables viewing internal structures of the body. Using several mathematical methods with data retrieved from MRI it is possible to quantify the brain compartment volume, which has many applications in cognitive, clinical and comparative neurosciences. This paper introduces a new fully automatic method, which can measure the volume of brain tissue using scans obtained from MRI devices. The method introduced in this paper was trained on data taken from 12 patients and the trained result was validated on other independent data obtained from 10 patients and compared to a human experts accuracy. The result achieves 99.407 % +/- 0.062 voxel error accuracy, which is comparable to results achieved by humans (99.540 % + 0.0775) but in a significantly shorter time and without the need of human involvement. (en)
Title	3D Brain Tissue Selection and Segmentation from MRI 3D Brain Tissue Selection and Segmentation from MRI (en)
skos:prefLabel	3D Brain Tissue Selection and Segmentation from MRI 3D Brain Tissue Selection and Segmentation from MRI (en)
skos:notation	RIV/00216305:26220/13:PU104568!RIV14-MPO-26220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(FR-TI4/151), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Burget, Radim Mašek, Jan Uher, Václav
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	119777
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU104568
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Image processing, skull stripping, machine learning, brain selection, segmentation. (en)
http://linked.open.../riv/klicoveSlovo	segmentation. Image processing brain selection skull stripping machine learning
http://linked.open...ontrolniKodProRIV	[86FD92AA99AF]
http://linked.open...v/mistoKonaniAkce	Rome
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	36th International Conference on Telecommunications and Signal processing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Burget, Radim Mašek, Jan Uher, Václav Dutta, Malay Kishore
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-02 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-4799-0402-0
http://localhost/t...ganizacniJednotka	26220

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