bibtype C - Conference Paper (international conference)
ARLID 0466408
utime 20240103213046.9
mtime 20161206235959.9
title (primary) (eng) Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI
specification
page_count 2 s.
media_type E
serial
ARLID cav_un_epca*0466472
ISSN Magma
title Magma
part_num 29 S1
publisher
place Berlin
name Springer
year 2016
keyword DCE-MRI
keyword AIF
author (primary)
ARLID cav_un_auth*0306308
name1 Kratochvíla
name2 Jiří
full_dept (cz) D3: Magnetická rezonance a Kryogenika
full_dept (eng) D3: Magnetic Resonance and Cryogenics
institution UPT-D
full_dept Magnetic Resonance and Cryogenics
fullinstit Ústav přístrojové techniky AV ČR, v. v. i.
author
ARLID cav_un_auth*0277120
name1 Jiřík
name2 Radovan
full_dept (cz) D3: Magnetická rezonance a Kryogenika
full_dept D3: Magnetic Resonance and Cryogenics
institution UPT-D
full_dept Magnetic Resonance and Cryogenics
fullinstit Ústav přístrojové techniky AV ČR, v. v. i.
author
ARLID cav_un_auth*0101622
name1 Starčuk jr.
name2 Zenon
full_dept (cz) D3: Magnetická rezonance a Kryogenika
full_dept D3: Magnetic Resonance and Cryogenics
institution UPT-D
full_dept Magnetic Resonance and Cryogenics
fullinstit Ústav přístrojové techniky AV ČR, v. v. i.
author
ARLID cav_un_auth*0312355
name1 Bartoš
name2 Michal
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0278224
name1 Standara
name2 M.
country CZ
author
ARLID cav_un_auth*0277119
name1 Taxt
name2 T.
country NO
source
url http://link.springer.com/journal/10334/29/1/suppl/page/1
cas_special
project
ARLID cav_un_auth*0338628
project_id GA16-13830S
agency GA ČR
country CZ
project
ARLID cav_un_auth*0303710
project_id LO1212
agency GA MŠk
country CZ
abstract (eng) Dynamic contrast-enhanced (DCE) MRI is used for estimation of tissue perfusion parameters, mainly in oncology. Quantitative DCE-MRI analysis requires knowledge of the arterial input function (AIF). It can be measured from a feeding artery, eventually averaged over a population. This leads to partialvolume and flow artifacts, ignored dispersion terms and variability among patients. Multichannel blind deconvolution is an alternative approach avoiding these problems. The AIF is estimated from several tissue tracer concentration curves. Here, blind deconvolution with a parametric AIF model is used to allow lower temporal resolution in DCE-MRI acquisition, while maintaining the accuracy of perfusion analysis. Compared to, a more complex (higher sampling demands) model for impulse residue function (IRF), DCATH, is used.
action
ARLID cav_un_auth*0338580
name ESMRMB 2016 Congress
dates 20160929
mrcbC20-s 20161001
place Vienna
country AT
RIV BM
reportyear 2017
num_of_auth 6
presentation_type PR
mrcbC55 UTIA-B BM
inst_support RVO:68081731
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0264777
cooperation
ARLID cav_un_auth*0296535
name Ústav teorie informace a automatizace AV ČR
institution ÚTIA AV ČR
country CZ
confidential S
arlyear 2016
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0466472 Magma 29 S1 1352-8661 S288-S289 Berlin Springer 2016