0399689 20240103203348.820140107235959.9 10 s. P cav_un_epca*0398727978-80-01-05379-9283-292PrahaČVUT2013 blind source separation deconvolution scintigraphy medical image sequence 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/2013/AS/tichy-0399689.pdf The problem of dynamic medical image sequence separation is studied. We introduced the state of the art algorithms for medical sequence decomposition together with those that are proposed by us. The validation and the comparison of the algorithms are nontrivial and challenging task. We propose to use a synthetic data where a ground truth is available so it is possible to compute a significant statistics for comparison reason. Moreover, we proposed a comparison on 99 real data from renal scintigraphy where relative renal functions are automatically computed and compared with those obtained by physician. cav_un_auth*0296116 Doktorandské dny 2013 FJFI oboru Matematické inženýrství Praha 15.11.2013 CZ 2014 BB 1 PR RVO:67985556 http://hdl.handle.net/11104/0228622 2013 cav_un_epca*0398727 Doktorandské dny 2013 978-80-01-05379-9 283 292 Praha ČVUT 2013