Noise characteristics of the FORE+OSEM(DB) reconstruction method for the MiCES PET scanner

Kisung Lee, Paul E. Kinahan, Robert S. Miyaoka, Jeffrey A. Fessier, Tom K. Lewellen

Research output: Contribution to journalConference articlepeer-review

Abstract

The FORE+OSEM(DB) image reconstruction method has been proposed for the fulIy-3D MiCES PET scanner under construction at the University of Washington. It is based on Fourier rebinning followed by 2D OSEM and an incorporated model of detector blurring (DB). As an extension, this paper presents the noise/resolution characteristics of this method. Multiple realizations were simulated to estimate the noise properties of the algorithm. The results are compared with OSEM followed by post reconstruction 3D Gaussian smoothing. The results show that the incorporation of detector blurring (OSEM(DB)) into the system matrix improves resolution compared to OSEM, while also inducing an increased variance at all radial locations. In addition, radially-varying noise characteristics are more apparent with OSEM(DB) than with OSEM.

Original languageEnglish
Pages (from-to)2642-2646
Number of pages5
JournalIEEE Nuclear Science Symposium Conference Record
Volume4
Publication statusPublished - 2004
Event2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors - Rome, Italy
Duration: 2004 Oct 162004 Oct 22

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Noise characteristics of the FORE+OSEM(DB) reconstruction method for the MiCES PET scanner'. Together they form a unique fingerprint.

Cite this