Reference : Median root prior and ordered subsets in Bayesian image reconstruction of single-phot...
Scientific journals : Article
Human health sciences : Radiology, nuclear medicine & imaging
http://hdl.handle.net/2268/3072
Median root prior and ordered subsets in Bayesian image reconstruction of single-photon emission tomography
English
Seret, Alain mailto [Hôpital Erasme - Université Libre de Bruxelles - ULB > > Service des Radioisotopes > >]
Mar-1998
European Journal of Nuclear Medicine
Springer Verlag
25
3
215-219
Yes (verified by ORBi)
International
0340-6997
Heidelberg
Germany
[en] Emission tomography ; SPECT ; Reconstruction ; Iterative ; Median root prior ; Ordered subsets ; Bayesian reconstruction ; MLEM ; OSEM
[en] Median root prior allows Bayesian image reconstruction without any a priori knowledge of the final solution. It limits the noise generated by maximum likelihood-expectation maximization, including when the ordered subsets accelerating procedure is used. Therefore the number of iterations can be optimized to obtain the best resolution for cold lesions. Moreover, the higher the number of subsets, the better the contrast, with optimal results for subsets containing between four and eight projections.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/3072
10.1007/s002590050219
http://springerlink.metapress.com/content/mk29gpv2020hrxkq/?p=0d10f58fd50a46ca90a45a5a73b3d6e5&pi=13
The original publication is available at www.springerlink.com
The original publication is available at www.springerlink.com. The author thanks Springer-Verlag for allowing deposit of his final version on the ULg institutional repository.

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
EJNM98_PostPrintAuthor.pdfAuthor postprint3.6 MBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.