bibtype K - Conference Paper (Czech conference)
ARLID 0383332
utime 20240103201518.9
mtime 20121130235959.9
title (primary) (eng) Model Consideration for Blind Source Separation of Medical Image Sequences
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0384152
ISBN 978-80-01-05138-2
title Doktorandské dny 2012
page_num 1-10
publisher
place Praha
name ČVUT v Praze
year 2012
keyword Blind Source Separation
keyword Factor Analysis
keyword Convolution
keyword Regions of Interest
keyword Image Sequence
author (primary)
ARLID cav_un_auth*0267768
name1 Tichý
name2 Ondřej
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2012/AS/tichy-model consideration for blind source separation of medical image sequences.pdf
cas_special
abstract (eng) The problem of functional analysis of medical image sequences is studied. The obtained images are assumed to be a superposition of images of underlying biological organs. This is commonly modeled as a Factor Analysis (FA) model. However, this model alone allows for biologically impossible solutions. Therefore, we seek additional biologically motivated assumptions that can be incorporated into the model to yield better solutions. In this paper, we review additional assumptions such as convolution of time activity, regions of interest selection, and noise analysis. All these assumptions can be incorporated into the FA model and their parameters estimated by the Variation Bayes estimation procedure. We compare these assumptions and discuss their influence on the resulting decomposition from diagnostic point of view. The algorithms are tested and demonstrated on real data from renal scintigraphy; however, the methodology can be used in any other imaging modality.
action
ARLID cav_un_auth*0285592
name Doktorandské dny 2012
place Praha
dates 16.11.2012-23.11.2012
country CZ
reportyear 2013
RIV BB
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0213299
arlyear 2012
mrcbU63 cav_un_epca*0384152 Doktorandské dny 2012 978-80-01-05138-2 1 10 Praha ČVUT v Praze 2012