| bibtype |
J -
Journal Article
|
| ARLID |
0586485 |
| utime |
20240624155602.5 |
| mtime |
20240605235959.9 |
| SCOPUS |
85189001729 |
| WOS |
001226696000001 |
| DOI |
10.1016/j.mri.2024.03.019 |
| title
(primary) (eng) |
Blind deconvolution decreases requirements on temporal resolution of DCE-MRI: Application to 2nd generation pharmacokinetic modeling |
| specification |
| page_count |
11 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0254220 |
| ISSN |
0730-725X |
| title
|
Magnetic Resonance Imaging |
| volume_id |
109 |
| page_num |
238-248 |
| publisher |
|
|
| keyword |
DCE-MRI |
| keyword |
Blind deconvolution |
| keyword |
2nd generation pharmacokinetic model |
| keyword |
Temporal resolution |
| author
(primary) |
| ARLID |
cav_un_auth*0306308 |
| name1 |
Kratochvíla |
| name2 |
Jiří |
| institution |
UPT-D |
| department |
D3: Magnetická rezonance a Kryogenika |
| full_dept (cz) |
D3: Magnetická rezonance a Kryogenika |
| full_dept (eng) |
D3: Magnetic Resonance and Cryogenics |
| garant |
K |
| fullinstit |
Ústav přístrojové techniky AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0277120 |
| name1 |
Jiřík |
| name2 |
Radovan |
| institution |
UPT-D |
| department |
D3: Magnetická rezonance a Kryogenika |
| full_dept (cz) |
D3: Magnetická rezonance a Kryogenika |
| full_dept |
D3: Magnetic Resonance and Cryogenics |
| fullinstit |
Ústav přístrojové techniky AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0312355 |
| name1 |
Bartoš |
| name2 |
Michal |
| institution |
UTIA-B |
| department |
ZOI |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| mrcb701-q |
Inst Informat Technol & Automation, Inst Informat Technol & Automat, Pod Vodarenskou Vezi 4, Prague, Czech Republic, |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0278224 |
| name1 |
Standara |
| name2 |
M. |
| country |
CZ |
| mrcb701-q |
Masaryk Mem Canc Inst, Dept Radiol, Zluty Kopec 7, Brno 65653, Czech Republic, |
|
| author
|
| ARLID |
cav_un_auth*0101622 |
| name1 |
Starčuk jr. |
| name2 |
Zenon |
| institution |
UPT-D |
| department |
D3: Magnetická rezonance a Kryogenika |
| full_dept (cz) |
D3: Magnetická rezonance a Kryogenika |
| full_dept |
D3: Magnetic Resonance and Cryogenics |
| fullinstit |
Ústav přístrojové techniky AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0277119 |
| name1 |
Taxt |
| name2 |
T. |
| country |
NO |
| mrcb701-q |
Univ Bergen, Dept Biomed, Jonas Lies Vei 91, Bergen, Norway, |
|
| source |
|
| cas_special |
| project |
| project_id |
GA22-10953S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0438251 |
|
| project |
| project_id |
LM2023050 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0445613 |
|
| abstract
(eng) |
Purpose: Dynamic Contrast-Enhanced (DCE) MRI with 2nd generation pharmacokinetic models provides estimates of plasma flow and permeability surface-area product in contrast to the broadly used 1st generation models (e.g. the Tofts models). However, the use of 2nd generation models requires higher frequency with which the dynamic images are acquired (around 1.5 s per image). Blind deconvolution can decrease the demands on temporal resolution as shown previously for one of the 1st generation models. Here, the temporal-resolution requirements achievable for blind deconvolution with a 2nd generation model are studied. Methods: The 2nd generation model is formulated as the distributed-capillary adiabatic-tissue-homogeneity (DCATH) model. Blind deconvolution is based on Parker's model of the arterial input function. The accuracy and precision of the estimated arterial input functions and the perfusion parameters is evaluated on synthetic and real clinical datasets with different levels of the temporal resolution. Results: The estimated arterial input functions remained unchanged from their reference high-temporalresolution estimates (obtained with the sampling interval around 1 s) when increasing the sampling interval up to about 5 s for synthetic data and up to 3.6-4.8 s for real data. Further increasing of the sampling intervals led to systematic distortions, such as lowering and broadening of the 1st pass peak. The resulting perfusionparameter estimation error was below 10% for the sampling intervals up to 3 s (synthetic data), in line with the real data perfusion-parameter boxplots which remained unchanged up to the sampling interval 3.6 s. Conclusion: We show that use of blind deconvolution decreases the demands on temporal resolution in DCE-MRI from about 1.5 s (in case of measured arterial input functions) to 3-4 s. This can be exploited in increased spatial resolution or larger organ coverage. |
| result_subspec |
WOS |
| RIV |
FS |
| FORD0 |
20000 |
| FORD1 |
20600 |
| FORD2 |
20601 |
| reportyear |
2025 |
| num_of_auth |
6 |
| mrcbC47 |
UTIA-B 10000 10200 10201 |
| mrcbC52 |
4 A sml 4as 20240618125157.8 |
| mrcbC55 |
UTIA-B JC |
| inst_support |
RVO:68081731 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0353995 |
| cooperation |
| ARLID |
cav_un_auth*0313487 |
| name |
Masarykův onkologický ústav, Brno |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0301683 |
| name |
University of Bergen |
| country |
NO |
|
| mrcbC91 |
C |
| mrcbT16-e |
RADIOLOGYNUCLEARMEDICINEMEDICALIMAGING |
| mrcbT16-j |
0.677 |
| mrcbT16-D |
Q3 |
| arlyear |
2024 |
| mrcbTft |
\nSoubory v repozitáři: 0586485_Smlouva.pdf |
| mrcbU01 |
MAGNETIC RESONANCE IMAGING 0730-725X 2024 109 |
| mrcbU14 |
85189001729 SCOPUS |
| mrcbU24 |
3850829 PUBMED |
| mrcbU34 |
001226696000001 WOS |
| mrcbU63 |
cav_un_epca*0254220 Magnetic Resonance Imaging Roč. 109 June 2024 238 248 0730-725X 1873-5894 Elsevier |
|