Iterative Methods for Fast Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128544" target="_blank" >RIV/00216305:26220/18:PU128544 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/chapter/10.1007/978-981-10-9035-6_48" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-10-9035-6_48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-10-9035-6_48" target="_blank" >10.1007/978-981-10-9035-6_48</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Iterative Methods for Fast Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI Data
Popis výsledku v původním jazyce
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. DCE-MRI, iterative reconstruction techniques, compressed sensing.
Název v anglickém jazyce
Iterative Methods for Fast Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI Data
Popis výsledku anglicky
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. DCE-MRI, iterative reconstruction techniques, compressed sensing.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])
Návaznosti výsledku
Projekt
<a href="/cs/project/GA16-13830S" target="_blank" >GA16-13830S: Perfuzní zobrazování v magnetické rezonanci pomocí komprimovaného snímání</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
World Congress on Medical Physics and Biomedical Engineering 2018
ISBN
978-981-10-9035-6
ISSN
—
e-ISSN
—
Počet stran výsledku
5
Strana od-do
267-271
Název nakladatele
Neuveden
Místo vydání
neuveden
Místo konání akce
Prague
Datum konání akce
3. 6. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000450908300048