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Study on listmode OSEM reconstruction including image-space resolution recovery techniques for compton camera

  • S. M. Kim
  • , J. S. Lee
  • , M. J. Park
  • , H. Seo
  • , C. H. Kim
  • , C. S. Lee
  • , D. S. Lee
  • , S. J. Lee
  • Institute of Radiation Medicine
  • Seoul National University
  • Hanyang University
  • Chung-Ang University
  • University of Paichai

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Although Compton camera may has a great potential as next generation imaging modality comparing to SPECT and PET, its fully three-dimensional image reconstruction requires the considerable computational burden and the spatial resolution is suffered from the various physical phenomena arising during detection process. In this study, we investigated the accelerated statistical image reconstruction in which system matrix included a resolution recovery (RR) technique. We considered 3D Gaussian resolution model for the integrated angular and geometric uncertainties. The angular uncertainty is closely related to the limited energy resolution of the Compton camera and Doppler broadening and the geometric uncertainty is due to the segmented detectors. For RR, the 3D Gaussian resolution model is incorporated into listmode OSEM (LMOSEM) using image-space convolution operation. We investigated two different RR approaches: one (denoted by LMOSEM-RRF) is when the convolution is only performed in forward projection step, and the other (denoted by LMOSEM-RRFB) is when it is performed in both forward and backward projection steps. The simulation results showed that both RR approaches gave an improvement on spatial resolution for theresolution-degraded data due to both angular and geometric uncertainties. Although LMOSEM-RRF provided better resolution than LMOSEM-RR FB, LMOSEM-RRFB could still useful for low counting statistics in measurement.

Original languageEnglish
Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2010 - Proceedings
Pages796-799
Number of pages4
DOIs
StatePublished - 2010
Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
Duration: 2010.04.142010.04.17

Publication series

Name2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Conference

Conference7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/TerritoryNetherlands
CityRotterdam
Period10.04.1410.04.17

Keywords

  • Compton camera
  • Detector response function
  • Image-space convolution
  • OSEM reconstruction
  • Resolution recovery

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