A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://perso.ens-lyon.fr/nelly.pustelnik/pdf/mic10_5p.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Parallel algorithm and hybrid regularization for dynamic PET reconstruction
<span title="">2010</span>
<i title="IEEE">
IEEE Nuclear Science Symposuim & Medical Imaging Conference
</i>
Preserved Fulltext
To improve the estimation at the voxel level in dynamic Positron Emission Tomography (PET) imaging, we propose to develop a convex optimization approach based on a recently proposed parallel proximal method (PPXA). This class of algorithms was successfully employed for 2D deconvolution in the presence of Poisson noise and it is extended here to (dynamic) space + time PET image reconstruction. Hybrid regularization defined as a sum of a total variation and a sparsity measure is considered in
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/nssmic.2010.5874223">doi:10.1109/nssmic.2010.5874223</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2qkpl73mxnehnosfdsvfx4zgre">fatcat:2qkpl73mxnehnosfdsvfx4zgre</a>
</span>
more »
... paper. The total variation is applied to each temporal-frame and a wavelet regularization is considered for the space+time data. Total variation allows us to smooth the wavelet artifacts introduced when the wavelet regularization is used alone. The proposed algorithm was evaluated on simulated dynamic fluorodeoxyglucose (FDG) brain data and compared with a regularized Expectation Maximization (EM) reconstruction. From the reconstructed dynamic images, parametric maps of the cerebral metabolic rate of glucose (CMRglu) were computed. Our approach shows a better reconstruction at the voxel level.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808195606/http://perso.ens-lyon.fr/nelly.pustelnik/pdf/mic10_5p.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/dd/df/dddf6b0a3e25ea627f5efb7b7218dc5bcda161d8.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/nssmic.2010.5874223">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
ieee.com
</button>
</a>