MRP approaches to PET image reconstruction

Karali, E; Koutsouris, D

dc.contributor.author	Karali, E	en
dc.contributor.author	Koutsouris, D	en
dc.date.accessioned	2014-03-01T02:53:22Z
dc.date.available	2014-03-01T02:53:22Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36265
dc.subject	Bayesian techniques	en
dc.subject	image reconstruction	en
dc.subject	median root prior (MRP)	en
dc.subject	penalized likelihood methods	en
dc.subject	positron emission tomography (PET)	en
dc.subject	small animal imaging	en
dc.subject.other	Bayesian techniques	en
dc.subject.other	median root prior (MRP)	en
dc.subject.other	Penalized likelihood	en
dc.subject.other	Positron emission	en
dc.subject.other	Small animal imaging	en
dc.subject.other	Algorithms	en
dc.subject.other	Animals	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Image reconstruction	en
dc.subject.other	Information science	en
dc.subject.other	Maximum likelihood	en
dc.subject.other	Medical imaging	en
dc.subject.other	Positron emission tomography	en
dc.title	MRP approaches to PET image reconstruction	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BMEI.2011.6098321	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BMEI.2011.6098321	en
heal.identifier.secondary	6098321	en
heal.publicationDate	2011	en
heal.abstract	The purpose of this study is to introduce a novel empirical iterative algorithm for medical image reconstruction, under the short name MRP-ISWLS (Median Root Prior Image Space Weighted Least Squares). We use phantom data from a prototype small-animal PET system and the methods presented here are applied to 2D sinograms. Further, we assess the performance of the new algorithm by comparing it to the simultaneous version of MRP-EM-ML (Median Root Prior Expectation Maximization Maximum Likelihood). Both algorithms are compared in terms of reconstruction time and CNRs (Contrast-to-Noise Ratios). As it turns out, MRP-ISWLS presents higher CNRs than MRP-EM-ML for objects of different size. Also MRP-ISWLS has better noise manipulation. © 2011 IEEE.	en
heal.journalName	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011	en
dc.identifier.doi	10.1109/BMEI.2011.6098321	en
dc.identifier.volume	1	en
dc.identifier.spage	399	en
dc.identifier.epage	403	en