Improving DCE-MRI through Unfolded Low-Rank + Sparse Optimisation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU152006" target="_blank" >RIV/00216305:26220/24:PU152006 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10635295/" target="_blank" >https://ieeexplore.ieee.org/document/10635295/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI56570.2024.10635295" target="_blank" >10.1109/ISBI56570.2024.10635295</a>
Alternative languages
Result language
angličtina
Original language name
Improving DCE-MRI through Unfolded Low-Rank + Sparse Optimisation
Original language description
A method for perfusion imaging with DCE-MRI is developed based on a combination of two popular paradigms: the low-rank + sparse model for optimisation-based reconstruction, and the deep unfolding. A learnable algorithm derived from a proximal method is designed with emphasis on simplicity and interpretability. The resulting deep network is trained and evaluated using a simulated measurement of a rat with a brain tumor, showing large performance gain over the classical low-rank + sparse baseline. Moreover, a quantitative perfusion analysis is performed based on the reconstructed sequence, proving that even training based on a simple pixel-wise error can lead to a significant improvement of the quality of the perfusion maps.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/GA22-10953S" target="_blank" >GA22-10953S: Multi-Contrast Quantification of Perfusion Using Joint Magnetic Resonance Contrast-Enhanced and Arterial-Spin-Labeling Approaches</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 IEEE International Symposium on Biomedical Imaging (ISBI)
ISBN
979-8-3503-1333-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
„“-„“
Publisher name
IEEE
Place of publication
Athens, Greece
Event location
Athens
Event date
May 27, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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