About: Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods

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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	Image-based definition of regions of interest is a typical prerequisite step for estimation of time-activity curves in dynamic positron emission tomography (PET). This procedure is done manually by a human operator and therefore suffers from subjective errors. Another such problem is to estimate the input function. It can be measured from arterial blood or it can be searched for a vascular structure on the images which is hard to be done, unreliable, and often impossible. In this study, we focus on blind source separation methods with no needs of manual interaction. Recently, we developed sparse blind source separation and deconvolution (S-BSS-vecDC) method for separation of original sources from dynamic medical data based on probability modeling and Variational Bayes approximation methodology. We apply the methods on dynamic brain PET data and application and comparison of our S-BSS-vecDC algorithm with those of similar assumptions are given. The S-BSS-vecDC algorithm is publicly available for download. Image-based definition of regions of interest is a typical prerequisite step for estimation of time-activity curves in dynamic positron emission tomography (PET). This procedure is done manually by a human operator and therefore suffers from subjective errors. Another such problem is to estimate the input function. It can be measured from arterial blood or it can be searched for a vascular structure on the images which is hard to be done, unreliable, and often impossible. In this study, we focus on blind source separation methods with no needs of manual interaction. Recently, we developed sparse blind source separation and deconvolution (S-BSS-vecDC) method for separation of original sources from dynamic medical data based on probability modeling and Variational Bayes approximation methodology. We apply the methods on dynamic brain PET data and application and comparison of our S-BSS-vecDC algorithm with those of similar assumptions are given. The S-BSS-vecDC algorithm is publicly available for download. (en)
Title	Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods (en)
skos:prefLabel	Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods (en)
skos:notation	RIV/68407700:21340/14:00221052!RIV15-MSM-21340___
http://linked.open...avai/riv/aktivita	I P S
http://linked.open...avai/riv/aktivity	I, P(GA13-29225S), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Tichý, Ondřej
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	České vysoké učení technické v Praze / Fakulta jaderná a fyzikálně inženýrská
http://linked.open...dnocenehoVysledku	24241
http://linked.open...ai/riv/idVysledku	RIV/68407700:21340/14:00221052
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Blind Source Separation; Dynamic PET; Input Function; Deconvolution (en)
http://linked.open.../riv/klicoveSlovo	Dynamic PET Input Function Deconvolution Blind Source Separation
http://linked.open...ontrolniKodProRIV	[0DA8990BF953]
http://linked.open...v/mistoKonaniAkce	Dalian
http://linked.open...i/riv/mistoVydani	Beijing
http://linked.open...i/riv/nazevZdroje	The 2014 7th International Conference on BioMedical Engineering and Informatics
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Slepá dekonvoluce obrazu v limitních podmínkách
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Tichý, Ondřej Šmídl, V.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-14 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-5837-5
http://localhost/t...ganizacniJednotka	21340

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