Article (Scientific journals)
Median root prior and ordered subsets in Bayesian image reconstruction of single-photon emission tomography
Seret, Alain
1998In European Journal of Nuclear Medicine, 25 (3), p. 215-219
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Keywords :
Emission tomography; SPECT; Reconstruction; Iterative; Median root prior; Ordered subsets; Bayesian reconstruction; MLEM; OSEM
Abstract :
[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.
Disciplines :
Radiology, nuclear medicine & imaging
Author, co-author :
Seret, Alain ;  Hôpital Erasme - Université Libre de Bruxelles - ULB > Service des Radioisotopes
Language :
English
Title :
Median root prior and ordered subsets in Bayesian image reconstruction of single-photon emission tomography
Publication date :
March 1998
Journal title :
European Journal of Nuclear Medicine
ISSN :
0340-6997
eISSN :
1432-105X
Publisher :
Springer Verlag, Heidelberg, Germany
Volume :
25
Issue :
3
Pages :
215-219
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
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.
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since 28 December 2008

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