Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2014, Vol. 25 ›› Issue (3): 030302 doi: 10.13538/j.1001-8042/nst.25.030302

• NUCLEAR CHEMISTRY,RADIOCHEMISTRY,RADIOPHARMACEUTICALS AND NUCLEAR MEDICINE • Previous Articles     Next Articles

An iterative image reconstruction algorithm for SPECT

ZHAO Jing-Wu,SU Wei-Ning   

  1. 1Physics School, Nanjing University, Nanjing 210093, China
  • Contact: ZHAO Jing-Wu E-mail:jwzhao@nju.edu.cn
  • Supported by:

    Supported by the Priority Academic Program Development of Jiangsu College Education

ZHAO Jing-Wu, SU Wei-Ning . An iterative image reconstruction algorithm for SPECT.Nuclear Science and Techniques, 2014, 25(3): 030302     doi: 10.13538/j.1001-8042/nst.25.030302

Abstract:

Properties of two algorithms for iterative reconstruction of SPECT images, LS-MLEM and LS-OSEM,are studied and compared with the ML-EM algorithm in this paper. By using projection data of heavy-noise, their effectiveness in improving SPECT image quality is evaluated. A phantom with hot and cold lesion is used in the investigation. The reconstructed images using LS-MLEM or LS-OSEM show that there is not a rapid increase in image noise,and the “best” estimate is assuming that the reconstructed images satisfy the statistical model. The major advantage of using LS-MLEM or LS-OSEM algorithm in SPECT imaging is in their ability to accurately control for heavy-noise. And LS-OSEM algorithm obviously improves the convergence rate.

Key words: Least squares, Maximum likelihood, Image reconstruction, Higher-noise