Dynamic magnetic resonance imaging using compressed sensing with multi-scale low rank penalty

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F17%3A00483859" target="_blank" >RIV/68081731:_____/17:00483859 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8053872" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8053872</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2017.8076094" target="_blank" >10.1109/TSP.2017.8076094</a>

Result language
angličtina
Original language name
Dynamic magnetic resonance imaging using compressed sensing with multi-scale low rank penalty
Original language description
In multi-scale low rank decomposition model, the data are assumed to be a sum of block-wise low rank matrices with different scales of block sizes. In many practical applications, data itself is not represented directly, yet in some transformation domain, e.g. the data acquired in the Fourier domain in context of magnetic resonance imaging (MRI). In this paper, we present a natural extension of the multi-scale low rank model and propose its combination with a measurement operator. This modification is necessary for utilization of the model in compressed sensing perfusion MRI, where the compressed acquisition is crucial to achieve high spatial and temporal resolutions. We compare the proposed method with the recent “low-rank+ sparse” method of Otazo, Candes & Sodickson and we show that the proposed method brings improvement in the quality of reconstructed intensity curves.
Czech name
—
Czech description
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Project
<a href="/en/project/GA16-13830S" target="_blank" >GA16-13830S: Magnetic resonance perfusion imaging using compressed sensing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
40th International Conference on Telecommunications and Signal Processing (TSP 2017)
ISBN
978-1-5090-3982-1
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
780-783
Publisher name
IEEE
Place of publication
Barcelona
Event location
Barcelona
Event date
Jul 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425229000165

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