An Efficient Implementation of the Iterative ML-EM Image Reconstruction Algorithm for PET on a Pentium PC Platform

CIT. Journal of Computing and Information Technology

Kontaxakis, George²  Strauss, Ludwig G.²  Tzanakos, George S.¹ 

[1] Physics Department, Division of Nuclear and Particle Physics, University of Athens, Greece and Biomedical Engineering Department, Rutgers University, New Brunswick, NJ, USA;Division of Oncological Diagnostics and Therapy, Medical PET Group - Biological Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany

关键词: Positron Emission Tomography;    Image Reconstruction;    Maximum Likelihood Estimation;    Expectation Maximization (EM) Algorithm;    Sparse...;   

DOI  :  

学科分类：计算机科学（综合）

来源: Sveuciliste u Zagrebu

【 摘 要 】

The EM (Expectation-Maximization) algorithm is becoming more and more popular as a solution to the image reconstruction problem in Positron Emission Tomography (PET). However, as an iterative method, it shows high computational cost in...

【 授权许可】

Unknown