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An Improved Ordered Subsets Expectation Maximization Reconstruction

  • Xu Lei
  • Huafu Chen
  • Dezhong Yao
  • Guanhua Luo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

Positron emission computerized tomography (PET) based on Ordered Subsets Expectation Maximization (OS-EM) is usually used to computerized tomography, which imposes the radionuclide to emission positron. But it also has some disadvantage as costing long time and bad reconstruction quality. Filtered Back Projection (FBP) that has many advantages such as simple structure and short reconstruction time is firstly introduced to the initialization stage to accelerate reconstruction. Then, the smoothness method is introduced to improve the reconstruction quality after OS-EM algorithm. The results show that this method has the advantages of fast reconstruction speed and good quality.

Keywords

Positron Emission Tomography Iteration Step Source Image Order Subset Expectation Maximization Reconstruction Quality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xu Lei
    • 1
  • Huafu Chen
    • 1
    • 2
  • Dezhong Yao
    • 1
  • Guanhua Luo
    • 1
  1. 1.School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChina
  2. 2.School of Applied MathematicsUniversity of Electronic Science and Technology of ChinaChina

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