Factor Analysis Of Scintigraphic Image Sequences With Integrated Convolution Model Of Factor Curves

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00361017" target="_blank" >RIV/67985556:_____/11:00361017 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Factor Analysis Of Scintigraphic Image Sequences With Integrated Convolution Model Of Factor Curves
Original language description
Factor analysis and deconvolution are commonly used tools in analysis of time activity analysis of biological organs in scintigraphic data. Typically, these are used independently such that the output of the former is taken as an input to the latter. Each method is thus unaware of the restrictions imposed by the other and fails to respect them. In this paper, we propose a probabilistic model that integrates convolution into the factor analysis model. We develop an approximate Bayesian estimation of themodel parameters based on Variational Bayes approximation. The new variant of the factor analysis model is suitable for modeling of a range of biological processes where convolution kernels are known to have restricted shapes. Properties of the new modelare illustrated on analysis of data from dynamic renal scintigraphy. The proposed model provides more realistic estimates of the convolution kernels.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the second international conference on computational bioscience
ISBN
978-0-88986-889-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
IASTED
Place of publication
Cambridge, UK
Event location
Cambridge
Event date
Jul 11, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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