NDLI: Improving the visual quality of median root prior images in PET and SPECT reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Alenius, S. Ruotsalainen, U.
Copyright Year	2000
Description	Author affiliation: Signal Process. Lab., Tampere Univ. of Technol., Finland (Alenius, S.)
Abstract	The median root prior (MRP) iterative reconstruction algorithm favors locally monotonic images. MRP preserves sharp edges while reducing noise at the same time. Quantitative properties of MRP are good, because a sufficiently high number of iterations can be run. In order to make the visual quality of MRP images more conventional, the standard median was replaced by other order statistic operations, the L- and FMH-filters. They allow for smoother appearance as they apply linear weighting together with nonlinear operations. The images reconstructed using the new MRP-L and MRP-FMH priors are visually more appealing. Good quantitative properties of MRP are not significantly altered by the new priors.
File Size	568326
File Format	PDF
ISBN	0780365038
ISSN	10823654
DOI	10.1109/NSSMIC.2000.950105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-15
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Image reconstruction Materials requirements planning Finite impulse response filter Noise reduction Noise robustness Pixel Signal processing algorithms Laboratories Reconstruction algorithms
Content Type	Text
Resource Type	Article

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Improving the visual quality of median root prior images in PET and SPECT reconstruction