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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhu, H.Q. Shu, H.Z. Zhou, J. Luo, L.M. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Biol. Sci. & Med. Eng., Southeast Univ., Nanjing, China (Zhu, H.Q.; Shu, H.Z.; Zhou, J.; Luo, L.M.) |
| Abstract | This work presents a new iterative method for reconstructing positron emission tomography (PET) images. Unlike conventional maximum likelihood-expectation maximization (MLEM), this method intends to introduce the fuzzy set principle to MLEM algorithm. In this work, the noncognitive uncertainty of the observed projection data are described by their probability density function; whereas the cognitive uncertainty of a random variable can be described by the membership function for its fuzziness. The mean of the observed projection data are regard as fuzzy random variables because of the complexity of system. The fuzzy random variable can be represented by a triangular membership function. We establish a joint probability density function that includes the effects of both fuzziness and randomness. The maximum likelihood approach is used to estimate the image vector. The order subset (OS), rescaled block-iterative (RBI), and row-action (RA) techniques are applied to our PET reconstructed method to speed up the convergence rate and to decrease the iteration numbers. |
| Starting Page | 1361 |
| Ending Page | 1364 |
| File Size | 784573 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780384393 |
| DOI | 10.1109/IEMBS.2004.1403425 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Positron emission tomography Image reconstruction Random variables Maximum likelihood estimation Iterative algorithms Uncertainty Probability density function Iterative methods Fuzzy sets Fuzzy systems MLEM algorithm image reconstruction fuzzy random variables positron emission tomography |
| Content Type | Text |
| Resource Type | Article |
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