Factor Analysis of Scintigraphic Image Sequences with Integrated Probabilistic Mask of Factor Images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F11%3A00192620" target="_blank" >RIV/68407700:21340/11:00192620 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985556:_____/11:00368078

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Factor Analysis of Scintigraphic Image Sequences with Integrated Probabilistic Mask of Factor Images

Popis výsledku v původním jazyce

Factor analysis is a well established mathematical method for factor separation in the analysis of scintigraphical sequences. The results are typically an input to the next step, e.g. factor analysis for computing significant diagnostic coefficients. However, this computing highly depends on proper identification of factors and their biological meaning, which is not ensure only by factor analysis. The main issue is separation overlaping factors from themselves and from tissue background covering the whole sequence. Factor analysis highly depends on prior information which allows us to set biologically reasonable conditions to a mathematical model. In this paper, we propose a mathematical model which estimates the probability mask of each image factor and sets it as a prior information for the next step of iterative algorithm based on Variational Bayes method. The new proposed model provides more realistic estimates of factors than the standard factor analysis.

Název v anglickém jazyce

Factor Analysis of Scintigraphic Image Sequences with Integrated Probabilistic Mask of Factor Images

Popis výsledku anglicky

Factor analysis is a well established mathematical method for factor separation in the analysis of scintigraphical sequences. The results are typically an input to the next step, e.g. factor analysis for computing significant diagnostic coefficients. However, this computing highly depends on proper identification of factors and their biological meaning, which is not ensure only by factor analysis. The main issue is separation overlaping factors from themselves and from tissue background covering the whole sequence. Factor analysis highly depends on prior information which allows us to set biologically reasonable conditions to a mathematical model. In this paper, we propose a mathematical model which estimates the probability mask of each image factor and sets it as a prior information for the next step of iterative algorithm based on Variational Bayes method. The new proposed model provides more realistic estimates of factors than the standard factor analysis.

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Doktorandské dny 2011

ISBN

978-80-01-04907-5

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

255-264

Název nakladatele

Česká technika - nakladatelství ČVUT

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

11. 11. 2011

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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