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MicroPET reconstruction with random coincidence correction via a joint Poisson model
Tai Been Chen,
Jyh Cheng Chen
,
Henry Horng Shing Lu
*
,
Ren Shyan Liu
*
此作品的通信作者
生物醫學影像暨放射科學系
統計學研究所
研究成果
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同行評審
5
引文 斯高帕斯（Scopus）
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Keyphrases
Poisson Model
100%
MicroPET
100%
Random Coincidence
100%
Coincidence Summing Correction
100%
Image Quality
66%
Positron Emission Tomography
66%
Expected Maxima
66%
Filtered Back Projection
66%
Random Correction
66%
Maximum Likelihood Expectation Maximization Algorithm
66%
Ordered Subsets
66%
Expectation-maximization Algorithm
33%
Full Width at Half Maximum
33%
System Matrix
33%
Maximum Likelihood Estimation
33%
Poisson
33%
Reconstruction Algorithm
33%
Image Reconstruction
33%
Coefficient of Variation
33%
Tomography Image
33%
Iterative Algorithm
33%
Reconstruction Method
33%
Functional Information
33%
Scattering Attenuation
33%
Physical Phantom
33%
Emission Computed Tomography
33%
Sinogram
33%
Application Demonstration
33%
Engineering
Joints (Structural Components)
100%
Poisson Model
100%
Expectation Maximization Algorithm
66%
Maximum Likelihood
66%
Experimental Result
33%
Simulated Result
33%
System Matrix
33%
Image Reconstruction
33%
Iterative Algorithm
33%
Maximum Likelihood Estimation
33%
Noise Variance
33%
Coefficient of Variation
33%
Computer Science
maximum-likelihood
100%
Image Quality
66%
Backprojection
66%
reconstruction algorithm
33%
Iterative Algorithm
33%
Likelihood Estimation
33%
Image Reconstruction
33%
Noise Variance
33%
Coefficient of Variation
33%
Expectation Maximum Algorithm
33%
Mathematics
Poisson Model
100%
Maximum Likelihood
66%
Expectation-Maximization Algorithm
66%
Positron
66%
Variance
33%
System Matrix
33%
reconstruction algorithm
33%
Maximum Likelihood
33%