Multiple-hit parameter estimation in monolithic detectors

William C.J. Hunter, Harrison H. Barrett, Tom K. Lewellen, Robert S. Miyaoka

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We examine a maximum-a-posteriori method for estimating the primary interaction position of gamma rays with multiple interaction sites (hits) in a monolithic detector. In assessing the performance of a multiple-hit estimator over that of a conventional one-hit estimator, we consider a few different detector and readout configurations of a 50-mm-wide square cerium-doped lutetium oxyorthosilicate block. For this study, we use simulated data from SCOUT, a Monte-Carlo tool for photon tracking and modeling scintillation-camera output. With this tool, we determine estimate bias and variance for a multiple-hit estimator and compare these with similar metrics for a one-hit maximum-likelihood estimator, which assumes full energy deposition in one hit. We also examine the effect of event filtering on these metrics; for this purpose, we use a likelihood threshold to reject signals that are not likely to have been produced under the assumed likelihood model. Depending on detector design, we observe a 1%-12% improvement of intrinsic resolution for a 1-or-2-hit estimator as compared with a 1-hit estimator. We also observe improved differentiation of photopeak events using a 1-or-2-hit estimator as compared with the 1-hit estimator; more than 6% of photopeak events that were rejected by likelihood filtering for the 1-hit estimator were accurately identified as photopeak events and positioned without loss of resolution by a 1-or-2-hit estimator; for PET, this equates to at least a 12% improvement in coincidence-detection efficiency with likelihood filtering applied.

Original languageEnglish (US)
Article number6342915
Pages (from-to)329-337
Number of pages9
JournalIEEE Transactions on Medical Imaging
Volume32
Issue number2
DOIs
StatePublished - 2013

Keywords

  • Detector scatter
  • Gamma-ray imaging
  • maximum likelihood estimation
  • monolithic detectors
  • multiple-hit positioning
  • three-dimensional (3-D) interaction positioning

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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