Interior and sparse-view image reconstruction using a mixed region and voxel based ML-EM algorithm

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

Abstract

We propose a new interior region-of-interest (ROI) image reconstruction method for computed tomography. The additional information to make the interior problem uniquely solvable is that a specific region inside the interior ROI is known to have uniform intensity level, but the constant level is unknown. The uniqueness of solution in this situation is analyzed by combining two existing approaches, namely (1) when the full knowledge of a small region inside the interior ROI is known, and (2) when the complete interior ROI is piecewise constant. The image reconstruction is provided by a mixed region and voxel based Poisson likelihood ML-EM algorithm that takes care of the photon statistics in emission tomography. This algorithm reconstructs the unknown constant (region-model) and the rest of the interior ROI (voxel-model) simultaneously. The uniqueness result assumes that all line integrals through the interior ROI are acquired. When only finite number of projection views are available, the mixed region and voxel based ML-EM algorithm can also reduce image artifacts from sparse-view and interior data acquisition in stationary multipinhole SPECT.

Original languageEnglish (US)
Title of host publication2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4070-4076
Number of pages7
ISBN (Print)9781467301183
DOIs
StatePublished - Jan 1 2011
Event2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011 - Valencia, Spain
Duration: Oct 23 2011Oct 29 2011

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Other

Other2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
CountrySpain
CityValencia
Period10/23/1110/29/11

Keywords

  • ML-EM
  • Poisson likelihood
  • ROI image reconstruction
  • interior problem
  • molecular imaging
  • multimodality
  • multipinhole collimator
  • sparse-view reconstruction
  • stationary SPECT

ASJC Scopus subject areas

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

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  • Cite this

    Xu, J., & Tsui, B. M. W. (2011). Interior and sparse-view image reconstruction using a mixed region and voxel based ML-EM algorithm. In 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011 (pp. 4070-4076). [6153774] (IEEE Nuclear Science Symposium Conference Record). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2011.6153774