A Conway-Maxwell-Poisson (CMP) model to address data dispersion on positron emission tomography
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- 作者：Maria Filomena Santarellia ; b ; santarel@ifc.cnr.it" class="auth_mail" title="E-mail the corresponding author ; Daniele Della Lattab ; Michele Scipionic ; Vincenzo Positanob ; Luigi Landinic ; b ; a
- 关键词：Positron emission tomography (PET) ; Conway-Maxwell-Poisson (CMP) distribution ; Maximum likelihood (ML) estimation ; Sinograms ; Poisson statistic deviation
- 刊名：Computers in Biology and Medicine
- 出版年：2016
- 出版时间：1 October 2016
- 年：2016
- 卷：77
- 期：Complete
- 页码：90-101
- 全文大小：3897 K
文摘
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PET projection data deviate from Poisson statistics due to several effects.
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The CMP distribution model quantifies data over-, equi and under-dispersion.
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The performance of CMP model has been proved using PET simulated and measured data.