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Title: A nonlinear, image domain filtering method for cardiac PET images

Journal Article · · IEEE Transactions on Nuclear Science
DOI:https://doi.org/10.1109/23.708300· OSTI ID:292924
; ; ; ;  [1]
  1. UCLA School of Medicine, Los Angeles, CA (United States)

An adaptive, nonlinear image domain filtering strategy is described which improves positron emission tomography (PET) images. The method was formulated to improve on the linear, low-pass filtering typically applied to each projection in the filtered back-projection (FBP) reconstruction algorithm. The algorithm is a potential alternative to linear smoothing which reduces noise but degrades resolution; this method uses the FBP algorithm for reconstruction, but aims to incorporate some of the statistical information and nonlinear smoothing utilized in iterative reconstruction algorithms. The approach uses sinogram segmentation to separate the sinogram elements with higher and lower signal-to-noise ratios, and then reconstruct each with FBP using a more appropriate choice of filter and cut-off frequency. Also, this algorithm addresses the radial streak artifacts introduced by FBP. The algorithm was evaluated using simulations and clinical data of cardiac PET studies on an ECAT 931 PET scanner. The initial results suggest that this technique has advantages over the current clinical protocol. Images processed with the method show generally improved visual image quality and reduced radial streaks without the introduction of artifacts. In simulations, increased contrast recovery and resolution are realized without an increase in the background noise of the reconstructed images.

Sponsoring Organization:
National Cancer Inst., Bethesda, MD (United States); USDOE, Washington, DC (United States); National Insts. of Health, Bethesda, MD (United States); California Univ., Berkeley, CA (United States)
OSTI ID:
292924
Report Number(s):
CONF-971147-; ISSN 0018-9499; TRN: 99:001658
Journal Information:
IEEE Transactions on Nuclear Science, Vol. 45, Issue 4Pt2; Conference: Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference, Albuquerque, NM (United States), 11-13 Nov 1997; Other Information: PBD: Aug 1998
Country of Publication:
United States
Language:
English

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