Impact on Image Noise of Incorporating Detector Blurring Into Image Reconstruction for a Small Animal PET Scanner
- Authors
- Lee, Kisung; Miyaoka, Robert S.; Lewellen, Tom K.; Alessio, Adam M.; Kinahan, Paul E.
- Issue Date
- 10월-2009
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Detector blurring; Fourier rebinning; noise property; ordered subsets expectation maximization (OSEM); positron emission tomography
- Citation
- IEEE TRANSACTIONS ON NUCLEAR SCIENCE, v.56, no.5, pp.2769 - 2776
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON NUCLEAR SCIENCE
- Volume
- 56
- Number
- 5
- Start Page
- 2769
- End Page
- 2776
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/119192
- DOI
- 10.1109/TNS.2009.2021610
- ISSN
- 0018-9499
- Abstract
- We study the noise characteristics of an image reconstruction algorithm that incorporates a model of the non-stationary detector blurring (DB) for a mouse-imaging positron emission tomography (PET) scanner. The algorithm uses ordered subsets expectation maximization (OSEM) image reconstruction., which is used to suppress statistical noise. Including the non-stationary detector blurring in the reconstruction process [OSEM(DB)] has been shown to increase contrast in images reconstructed from measured data acquired on the fully-3D MiCES PET scanner developed at the University of Washington. As an extension, this study uses simulation studies with a fully-3D acquisition mode and our proposed FORE+OSEM(DB) reconstruction process to evaluate the volumetric contrast versus noise trade-offs of this approach. Multiple realizations were simulated to estimate the true noise properties of the algorithm. The results show that incorporation of detector blurring FORE+OSEM(DB) into the reconstruction process improves the contrast/noise trade-offs compared to FORE+OSEM in a radially dependent manner. Adding post reconstruction 3D Gaussian smoothing to FORE+OSENT and FORE+OSEM(DB) reduces the contrast versus noise advantages of FORE+OSEM(DB).
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Collections - Graduate School > Department of Bioengineering > 1. Journal Articles
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