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Real-time Data Acquisition and Maximum-Likelihood Estimation for Gamma Cameras.

L R Furenlid1, J Y Hesterman2, H H Barrett1

  • 1Department of Radiology and the College of Optical Sciences, University of Arizona, Tucson, AZ 85724 USA.

IEEE NPSS Real Time Conference : Conference Record. Conference on Real-Time Computer Applications in Nuclear, Particle, and Plasma Physics
|April 12, 2016
PubMed
Summary
This summary is machine-generated.

We created new gamma-ray cameras for biomedical imaging using a list-mode acquisition system. This system enables real-time, maximum-likelihood estimations of position and energy for improved medical diagnostics.

Keywords:
SPECTdata acquisitiongamma cameragamma raymaximum likelihoodposition estimation

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Area of Science:

  • Medical imaging
  • Nuclear medicine
  • Biomedical engineering

Background:

  • Gamma-ray cameras are crucial for biomedical imaging.
  • Raw list-mode acquisition offers detailed event data.
  • Real-time data processing is essential for efficient imaging.

Purpose of the Study:

  • To design a modular gamma-ray camera system for biomedical imaging.
  • To develop algorithms for real-time data processing within the camera's data path.
  • To implement maximum-likelihood estimations for event position and energy during acquisition.

Main Methods:

  • Developed a raw list-mode data acquisition architecture.
  • Designed modular gamma-ray cameras.
  • Created algorithms for a specialized computing engine.
  • Integrated the engine into the camera data path for real-time processing.

Main Results:

  • Successfully designed a modular gamma-ray camera system.
  • Implemented algorithms for real-time maximum-likelihood position and energy estimation.
  • Demonstrated the feasibility of processing data during acquisition.

Conclusions:

  • The developed system enables efficient real-time data processing for gamma-ray cameras.
  • This approach enhances the capability of biomedical imaging systems.
  • The modular design and real-time estimation pave the way for advanced medical diagnostics.