An iterative image reconstruction algorithm for SPECT

Jing-Wu ZHAO; Wei-Ning SU

doi:10.13538/j.1001-8042/nst.25.030302

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An iterative image reconstruction algorithm for SPECT

NUCLEAR CHEMISTRY, RADIOCHEMISTRY, RADIOPHARMACEUTICALS AND NUCLEAR MEDICINE | Updated：2021-01-20

- An iterative image reconstruction algorithm for SPECT
- Nuclear Science and Techniques Vol. 25, Issue 3, Article number: 030302(2014)
- Affiliations：
  
  1.Physics School, Nanjing University, Nanjing210093, China
- Author bio：
  
  Corresponding author, jwzhao@nju.edu.cn
- Funds：
- DOI：10.13538/j.1001-8042/nst.25.030302
  CLC：
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Jing-Wu ZHAO, Wei-Ning SU. An iterative image reconstruction algorithm for SPECT. [J]. Nuclear Science and Techniques 25(3):030302(2014)
DOI：

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

摘要

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.

关键词

Keywords

Least squaresMaximum likelihoodImage reconstructionHigher-noise

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Related Institution

Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences

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