0368078 20240103195926.220111206235959.9 9 s. pdf cav_un_epca*0368077978-80-01-04907-5255-263PrahaFJFI ČVUT2011AmbrožPetrMasákováZuzana Nuclear Medicine Factor Analysis Scintigraphy cav_un_auth*0267768 Tichý Ondřej Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/AS/tichy-factor analysis of scintigraphic image sequences with integrated probabilistic mask of factor images.pdf CEZ:AV0Z10750506 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. cav_un_auth*0276641 Doktorandské Dny 2011 Praha 11.11.2011-25.11.2011 CZ 2012 BB 1 http://hdl.handle.net/11104/0202535 2011 cav_un_epca*0368077 Doktorandské Dny 2011 978-80-01-04907-5 255 263 Praha FJFI ČVUT 2011 Ambrož Petr 340 Masáková Zuzana 340