A Conway-Maxwell-Poisson (CMP) model to address data dispersion on positron emission tomography

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• 作者：Maria Filomena Santarellip>ap>p> ; p>p>bp>p> ; p>p>santarel@ifc.cnr.it" class="auth_mail" title="E-mail the corresponding authorp> ; Daniele Della Lattap>bp> ; Michele Scipionip>cp> ; Vincenzo Positanop>bp> ; Luigi Landinip>cp>p> ; p>p>bp>p> ; p>p>ap>
• 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

<dl class="listitem" id="list_li0005"><dt class="label">•dt><dd><p id="p0005">PET projection data deviate from Poisson statistics due to several effects.p>dd><dt class="label">•dt><dd><p id="p0010">The CMP distribution model quantifies data over-, equi and under-dispersion.p>dd><dt class="label">•dt><dd><p id="p0015">The performance of CMP model has been proved using PET simulated and measured data.p>dd>dl>