Number of the records: 1
Factor Analysis Of Scintigraphic Image Sequences With Integrated Convolution Model Of Factor Curves
- 1.
SYSNO ASEP 0361017 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Factor Analysis Of Scintigraphic Image Sequences With Integrated Convolution Model Of Factor Curves Author(s) Šmídl, Václav (UTIA-B) RID, ORCID
Tichý, Ondřej (UTIA-B) RID, ORCID
Šámal, M. (CZ)Number of authors 3 Source Title Proceedings of the second international conference on computational bioscience. - Cambridge, UK : IASTED, 2011 - ISBN 978-0-88986-889-2 Pages s. 1-7 Number of pages 7 s. Publication form www - www Action The Second IASTED International Conference on Computational Bioscience Event date 11.07.2011-13.07.2011 VEvent location Cambridge Country GB - United Kingdom Event type WRD Language eng - English Country GB - United Kingdom Keywords factor analysis ; blind decomvolution ; image sequences Subject RIV BB - Applied Statistics, Operational Research CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation 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 the model 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 model are illustrated on analysis of data from dynamic renal scintigraphy. The proposed model provides more realistic estimates of the convolution kernels. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
Number of the records: 1