Optimization of an adaptive SPECT system with the scanning linear estimator

Nasrin Ghanbari, Eric W Clarkson, Matthew A Kupinski, Xin Li

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

Abstract

The adaptive single-photon emission computed tomography (SPECT) system studied here acquires an initial scout image to obtain preliminary information about the object. Then the configuration is adjusted by selecting the size of the pinhole and the magnification that optimize system performance on an ensemble of virtual objects generated to be consistent with the scout data. In this study the object is a lumpy background that contains a Gaussian signal with a variable width and amplitude. The virtual objects in the ensemble are imaged by all of the available configurations and the subsequent images are evaluated with the scanning linear estimator to obtain an estimate of the signal width and amplitude. The ensemble mean squared error (EMSE) on the virtual ensemble between the estimated and the true parameters serves as the performance figure of merit for selecting the optimum configuration. The results indicate that variability in the original object background, noise and signal parameters leads to a specific optimum configuration in each case. A statistical study carried out for a number of objects show that the adaptive system on average performs better than its nonadaptive counterpart.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume9594
ISBN (Print)9781628417609
DOIs
StatePublished - 2015
EventMedical Applications of Radiation Detectors V - San Diego, United States
Duration: Aug 12 2015Aug 13 2015

Other

OtherMedical Applications of Radiation Detectors V
CountryUnited States
CitySan Diego
Period8/12/158/13/15

Keywords

  • Adaptive imaging
  • optimization
  • Scanning Linear Estimator
  • SPECT

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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