List-mode likelihood
List-mode likelihood
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DOI：
10.1364/josaa.14.002914
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发表时间：
1997-11-01
影响因子：
1.9
通讯作者：
Parra, LC
中科院分区：
文献类型：
--
作者：
Barrett, HH;White, T;Parra, LC
随着光子计数成像系统变得越来越复杂，有一种趋势是测量每个单独事件的更多属性。在各种成像系统中，属性可以包括多个位置变量、时间变量和能量。如果每个事件测量的属性超过大约四个。将数据记录在图像矩阵中是不切实际的，相反，使用一个简单的列表（其中存储每个事件的每个属性）会更有效。本文的目的是讨论此类列表模式数据的似然性概念。我们提出了列表模式似然的表达式，每个光子具有任意数量的属性以及预设计数和预设时间。这种可能性的最大化可以导致使用列表模式数据的实用重建算法，但这方面在另一篇论文中有所介绍 [IEEE Trans.医学。成像（待发表）]。还导出了列表模式数据的病变可检测性的表达式，并将其与传统分箱数据的相应表达式进行比较。 (C) 1997 年美国光学学会。
As photon-counting imaging systems become more complex, there is a trend toward measuring more attributes of each individual event. In various imaging systems the attributes can include several position variables, time variables, and energies. If more than about four attributes are measured for each event. it is not practical to record the data in an image matrix, Instead it is more efficient to use a simple list where every attribute is stored for every event. It is the purpose of this paper to discuss the concept of likelihood for such list-mode data. We present expressions for list-mode likelihood with an arbitrary number of attributes per photon and for both preset counts and preset time. Maximization of this likelihood can lead to a practical reconstruction algorithm with list-mode data, but that aspect is covered in a separate paper [IEEE Trans. Med. Imaging (to be published)]. An expression for lesion detectability for list-mode data is also derived and compared with the corresponding expression for conventional binned data. (C) 1997 Optical Society of America.