Accurate 3D reconstruction by a new PDS-OSEM algorithm for HRRT

Tai Been Chen, Henry Horng-Shing Lu, Hang Keun Kim, Young Don Son, Zang Hee Cho*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


State-of-the-art high resolution research tomography (HRRT) provides high resolution PET images with full 3D human brain scanning. But, a short time frame in dynamic study causes many problems related to the low counts in the acquired data. The PDS-OSEM algorithm was proposed to reconstruct the HRRT image with a high signal-to-noise ratio that provides accurate information for dynamic data. The new algorithm was evaluated by simulated image, empirical phantoms, and real human brain data. Meanwhile, the time activity curve was adopted to validate a reconstructed performance of dynamic data between PDS-OSEM and OP-OSEM algorithms. According to simulated and empirical studies, the PDS-OSEM algorithm reconstructs images with higher quality, higher accuracy, less noise, and less average sum of square error than those of OP-OSEM. The presented algorithm is useful to provide quality images under the condition of low count rates in dynamic studies with a short scan time.

Original languageEnglish
Pages (from-to)107-114
Number of pages8
JournalRadiation Physics and Chemistry
StatePublished - 1 Mar 2014


  • Average Sum of Square Error
  • HRRT
  • PET
  • Time Activity Curve


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