Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00221052" target="_blank" >RIV/68407700:21340/14:00221052 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/14:00433424
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods
Original language 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 avai
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-29225S" target="_blank" >GA13-29225S: Image Blind Deconvolution in Demanding Conditions</a><br>
Continuities
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
The 2014 7th International Conference on BioMedical Engineering and Informatics
ISBN
978-1-4799-5837-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
244-249
Publisher name
IEEE
Place of publication
Beijing
Event location
Dalian
Event date
Oct 14, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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