Progress in BazookaSPECT

Brian W. Miller, H. Bradford Barber, Lars R. Furenlid, Stephen K. Moore, Harrison H. Barrett

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

16 Scopus citations

Abstract

Recent progress on a high-resolution, photon-counting gamma-ray and x-ray imager called BazookaSPECT is presented. BazookaSPECT is an example of a new class of scintillation detectors based on integrating detectors such as CCD(charge-coupled device) or CMOS(complementary metal-oxide semiconductor) sensors. BazookaSPECT is unique in that it makes use of a scintillator in close proximity to a microchannel plate-based image intensifier for up-front optical amplification of scintillation light. We discuss progress made in bringing about compact BazookaSPECT modules and in real-time processing of event data using graphics processing units (GPUs). These advances are being implemented in the design of a high-resolution rodent brain imager called FastSPECT III. A key benefit of up-front optical gain is that any CCD/CMOS sensor can now be utilized for photon counting. We discuss the benefits and feasibility of using CMOS sensors as photon-counting detectors for digital radiography, with application in mammography and computed tomography (CT). We present as an appendix a formal method for comparing various photon-counting integrating detectors using objective statistical criteria.

Original languageEnglish (US)
Title of host publicationPenetrating Radiation Systems and Applications X
DOIs
StatePublished - 2009
EventPenetrating Radiation Systems and Applications X - San Diego, CA, United States
Duration: Aug 6 2009Aug 6 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7450
ISSN (Print)0277-786X

Other

OtherPenetrating Radiation Systems and Applications X
Country/TerritoryUnited States
CitySan Diego, CA
Period8/6/098/6/09

Keywords

  • BazookaSPECT detectors
  • Columnar CsI(Tl)
  • Fisher information
  • GPGPU
  • GPU
  • High-performance computing
  • Maximum likelihood
  • Molecular imaging
  • Photon-counting integrating detectors
  • Position estimation
  • SPECT

ASJC Scopus subject areas

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

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