Monte Carlo simulation based scatter correction in 3D list-mode image reconstruction

Kai Lou, Xishan Sun, John Clark, Yiping Shao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We developed a Monte Carlo simulation based scatter correction method for 3D list-mode image reconstruction, and tested the method with Monte Carlo simulations. First, an emission image without scatter correction was reconstructed using MLEM. A transmission image was generated with the CT image. Then, based on the emission and transmission images, GATE was used to simulate coincidence events with their line-of responses (LORs) grouped according to their spatial positions (e.g. interaction positions or detector modules). The scatter ratio (scatter vs total coincidences) in each LOR group was calculated and stored in a scatter table. Finally, the scatter table was applied in a new image reconstruction to correct the scatter on the basis of each LOR group. The method was implemented in a simulated brain-size PET, with 300×300×100 mm3 FOV, 2×2×30 mm3 LYSO crystals, and 5 mm depth-of-interaction (DOI) resolution. Images of a 150×150×80 mm3 PMMA phantom inserted with three different radioisotope distributions were studied, including a point source array, a hot rod matrix, and a uniform source. We used detector module as the criteria to group LORs. With scatter correction, image resolution was almost the same as measured by point sources at different FOV positions; hot-rod sources showed visually improved image quality with reduced background noise; image SNR of the uniform source was not impacted. This method has been successfully implemented in the brain-size PET with improved image quality. It can be potentially applied to other list-mode 3D PET systems, with considering the accuracy and variation of scatter ratio in LOR grouping.

Original languageEnglish (US)
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Publication series

Name2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

ASJC Scopus subject areas

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

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