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 |
|
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 |
|