Journal article
A Kernel Density Estimator-Based Maximum A Posteriori Image Reconstruction Method for Dynamic Emission Tomography Imaging
Abstract
A novel maximum a posteriori (MAP) method for dynamic single-photon emission computed tomography image reconstruction is proposed. The prior probability is modeled as a multivariate kernel density estimator (KDE), effectively modeling the prior probability non-parametrically, with the aim of reducing the effects of artifacts arising from inconsistencies in projection measurements in low-count regimes where projections are dominated by noise. …
Authors
Ihsani A; Farncombe TH
Journal
IEEE Transactions on Image Processing, Vol. 25, No. 5, pp. 2233–2248
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
5 2016
DOI
10.1109/tip.2016.2547185
ISSN
1057-7149