Nucl Med Mol Imaging.  2007 Jun;41(3):234-240.

A Comparative Study of Subset Construction Methods in OSEM Algorithms using Simulated Projection Data of Compton Camera

Affiliations
  • 1Department of Nuclear Medicine and Interdisciplinary Program in Radiation Applied Life Science Major, Seoul National University College of Medicine, Seoul, Korea. jaes@snu.ac.kr
  • 2Department of Electronic Engineering, Paichai University, Daejeon, Korea.
  • 3Department of Physics, Chung-Ang University, Seoul, Korea.
  • 4Department of Nuclear Engineering, Hanyang University, Seoul, Korea.

Abstract

PURPOSE: In this study we propose a block-iterative method for reconstructing Compton scattered data. This study shows that the well-known expectation maximization (EM) approach along with its accelerated version based on the ordered subsets principle can be applied to the problem of image reconstruction for Compton camera. This study also compares several methods of constructing subsets for optimal performance of our algorithms.
MATERIALS AND METHODS
Three reconstruction algorithms were implemented; simple backprojection (SBP), EM, and ordered subset EM (OSEM). For OSEM, the projection data were grouped into subsets in a predefined order. Three different schemes for choosing nonoverlapping subsets were considered; scatter angle-based subsets, detector position-based subsets, and both scatter angle- and detector position-based subsets. EM and OSEM with 16 subsets were performed with 64 and 4 iterations, respectively. The performance of each algorithm was evaluated in terms of computation time and normalized mean-squared error.
RESULTS
Both EM and OSEM clearly outperformed SBP in all aspects of accuracy. The OSEM with 16 subsets and 4 iterations, which is equivalent to the standard EM with 64 iterations, was approximately 14 times faster in computation time than the standard EM. In OSEM, all of the three schemes for choosing subsets yielded similar results in computation time as well as normalized mean-squared error.
CONCLUSION
Our results show that the OSEM algorithm, which have proven useful in emission tomography, can also be applied to the problem of image reconstruction for Compton camera. With properly chosen subset construction methods and moderate numbers of subsets, our OSEM algorithm significantly improves the computational efficiency while keeping the original quality of the standard EM reconstruction. The OSEM algorithm with scatter angle- and detector position-based subsets is most available.

Keyword

compton camera; image reconstruction; ordered subset expectation maximization

MeSH Terms

Image Processing, Computer-Assisted
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