Preliminary investigation of a Monte Carlo-based system matrix approach for quantitative clinical brain 123I SPECT imaging

Benjamin Auer, Navid Zeraatkar, Soumyanil Banerjee, Justin C. Goding, Lars R. Furenlid, Michael A. King

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

1 Scopus citations

Abstract

A next-generation, adaptive, dynamic multi-pinhole system, AdaptiSPECT-C, dedicated to clinical brain SPECT imaging, is currently under development as part of a collaboration between the universities of Arizona and Massachusetts. It has been shown that accurate modeling of the system matrix is a key aspect of SPECT image reconstruction as it has the potential to improve the imaging performance of any system. A straight-forward approach to modeling is based on the use of Monte Carlo simulation to pre-compute and store the system matrix. Generally, in clinical imaging, given the large sizes of detectors and volume of interests this approach faces critical memory storage issues despite the use of sparse structures to store the system matrix. The aim of this work was to investigate the feasibility of a Monte Carlo simulation pre-computed system matrix approach for 123I clinical brain SPECT imaging with the AdaptiSPECT-C system. Our efficient method was evaluated using an XCAT brain perfusion phantom. The present approach's feasibility was fully demonstrated in case of clinical 123I brain imaging.

Original languageEnglish (US)
Title of host publication2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538684948
DOIs
Publication statusPublished - Nov 2018
Event2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Sydney, Australia
Duration: Nov 10 2018Nov 17 2018

Publication series

Name2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

Conference

Conference2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018
CountryAustralia
CitySydney
Period11/10/1811/17/18

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Keywords

  • Clinical I brain imaging
  • modeling of the system matrix
  • Monte Carlo simulation
  • quantitative SPECT imaging

ASJC Scopus subject areas

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

Cite this

Auer, B., Zeraatkar, N., Banerjee, S., Goding, J. C., Furenlid, L. R., & King, M. A. (2018). Preliminary investigation of a Monte Carlo-based system matrix approach for quantitative clinical brain 123I SPECT imaging. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings [8824750] (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2018.8824750