| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0490787 |
| utime |
20240103220201.1 |
| mtime |
20180627235959.9 |
| SCOPUS |
85048274819 |
| WOS |
000450908300048 |
| DOI |
10.1007/978-981-10-9035-6_48 |
| title
(primary) (eng) |
Iterative Methods for Fast Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI Data |
| specification |
| page_count |
5 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0496757 |
| ISBN |
978-981-10-9034-9 |
| ISSN |
1680-0737 |
| title
|
World Congress on Medical Physics and Biomedical Engineering 2018 |
| page_num |
267-271 |
| publisher |
| place |
Singapore |
| name |
Springer |
| year |
2019 |
|
| editor |
|
| editor |
|
| editor |
|
| editor |
|
|
| keyword |
DCE-MRI |
| keyword |
Iterative reconstruction techniques |
| keyword |
Compressed sensing |
| author
(primary) |
| ARLID |
cav_un_auth*0362064 |
| full_dept |
Department of Image Processing |
| name1 |
Walner |
| name2 |
Hynek |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0312355 |
| full_dept |
Department of Image Processing |
| name1 |
Bartoš |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0355652 |
| name1 |
Mangová |
| name2 |
M. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0362066 |
| name1 |
Keunen |
| name2 |
O. |
| country |
NO |
|
| author
|
| ARLID |
cav_un_auth*0362067 |
| name1 |
Bjerkvig |
| name2 |
R. |
| country |
NO |
|
| author
|
| ARLID |
cav_un_auth*0277120 |
| name1 |
Jiřík |
| name2 |
Radovan |
| institution |
UPT-D |
| full_dept (cz) |
D3: Magnetická rezonance a Kryogenika |
| full_dept |
D3: Magnetic Resonance and Cryogenics |
| full_dept |
Magnetic Resonance and Cryogenics |
| fullinstit |
Ústav přístrojové techniky AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0108377 |
| name1 |
Šorel |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0338628 |
| project_id |
GA16-13830S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
This paper introduces new variational formulation for reconstruction from subsampled dynamic contrast-enhanced DCE-MRI data, that combines a data-driven approach using estimated temporal basis and total variation regularization (PCA TV). We also experimentally compares the performance of such model with two other state-of-the-art formulations. One models the shape of perfusion curves in time as a sum of a curve belonging to a low-dimensional space and a function sparse in a suitable domain (L + S model). The other possibility is to regularize both spatial and time domains (ICTGV). We are dealing with the specific situation of the DCE-MRI acquisition with a 9.4T small animal scanner, working with noisier signals than human scanners and with a smaller number of coil elements that can be used for parallel acquisition and small voxels. Evaluation of the selected methods is done through subsampled reconstruction of radially-sampled DCE-MRI data. Our analysis shows that compressed sensed MRI in the form of regularization can be used to increase the temporal resolution of acquisition while keeping a sufficient signal-to-noise ratio. |
| action |
| ARLID |
cav_un_auth*0362068 |
| name |
World Congress on Medical Physics and Biomedical Engineering 2018 |
| dates |
20180603 |
| mrcbC20-s |
20180608 |
| place |
Praha |
| country |
CZ |
|
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2019 |
| num_of_auth |
7 |
| mrcbC47 |
UPT-D 10000 10200 10201 |
| presentation_type |
PR |
| mrcbC55 |
UPT-D JD |
| inst_support |
RVO:67985556 |
| inst_support |
RVO:68081731 |
| permalink |
http://hdl.handle.net/11104/0289571 |
| confidential |
S |
| article_num |
48 |
| mrcbC86 |
3+4 Proceedings Paper Engineering Biomedical|Radiology Nuclear Medicine Medical Imaging |
| mrcbT16-s |
0.143 |
| mrcbT16-E |
Q4 |
| arlyear |
2019 |
| mrcbU14 |
85048274819 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000450908300048 WOS |
| mrcbU63 |
cav_un_epca*0496757 World Congress on Medical Physics and Biomedical Engineering 2018 978-981-10-9034-9 1680-0737 267 271 Singapore Springer 2019 IFMBE Proceedings volume 68/1 |
| mrcbU67 |
340 Lhotská L. |
| mrcbU67 |
340 Sukupová L. |
| mrcbU67 |
340 Lacković I. |
| mrcbU67 |
340 Ibbott G.S. |
|