基于改进的 EM 算法的发射型计算机断层成像数据的贝叶斯重建。

Bayesian reconstructions from emission tomography data using a modified EM algorithm.

机构信息

Dept. of Math., Bristol Univ.

出版信息

IEEE Trans Med Imaging. 1990;9(1):84-93. doi: 10.1109/42.52985.

Abstract

A novel method of reconstruction from single-photon emission computerized tomography data is proposed. This method builds on the expectation-maximization (EM) approach to maximum likelihood reconstruction from emission tomography data, but aims instead at maximum posterior probability estimation, which takes account of prior belief about smoothness in the isotope concentration. A novel modification to the EM algorithm yields a practical method. The method is illustrated by an application to data from brain scans.

摘要

提出了一种从单光子发射计算机断层扫描数据进行重建的新方法。该方法基于最大似然重建的期望最大化（EM）方法，但旨在最大后验概率估计，该方法考虑了对示踪剂浓度平滑度的先验信念。对 EM 算法的一种新修改产生了一种实用的方法。通过对脑扫描数据的应用来说明该方法。