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Design of a Real Time FPGA-based Three Dimensional Positioning Algorithm.

Nathan G Johnson-Williams1, Robert S Miyaoka, Xiaoli Li

  • 1The University of Washington Department of Electrical Engineering, Seattle, WA USA.

IEEE Nuclear Science Symposium Conference Record. Nuclear Science Symposium
|July 14, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a 3D Statistics-Based Processing (SBP) method for continuous miniature crystal element (cMiCE) detectors, enhancing spatial resolution. The Field Programmable Gate Array (FPGA) implementation achieves high processing speeds and improves accuracy, especially at crystal edges.

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Area of Science:

  • Medical Physics
  • Nuclear Instrumentation
  • Detector Technology

Background:

  • Previous work established a 2D Field Programmable Gate Array (FPGA) implementation for Statistics-Based Processing (SBP) to determine detector spatial resolution.
  • Continuous miniature crystal element (cMiCE) detectors require advanced processing for accurate spatial resolution determination.

Purpose of the Study:

  • To implement and evaluate a real-time 3D Statistics-Based Processing (SBP) method with depth of interaction for cMiCE detectors.
  • To improve intrinsic spatial resolution, particularly at the edges of the crystal elements.

Main Methods:

  • Utilized a sensor on the entrance surface design for cMiCE detectors.
  • Developed a 3D look-up table approach within the SBP algorithm.
  • Implemented a pipelined Field Programmable Gate Array (FPGA) hardware platform for real-time event processing.
  • Incorporated DETECT2000 simulations including Compton scatter effects.

Main Results:

  • Achieved an intrinsic spatial resolution of approximately 0.90 mm FWHM in X and Y, and 1.90 mm FWHM in Z.
  • The FPGA implementation processes events exceeding 220k events per second.
  • The 3D algorithm significantly improves resolution at crystal edges compared to 2D methods.
  • A prototype was tested, demonstrating feasibility despite memory limitations.

Conclusions:

  • The 3D SBP method with depth of interaction processing offers improved intrinsic spatial resolution for cMiCE detectors.
  • The pipelined FPGA implementation provides high-speed, distributed processing, reducing computational load on a central host.
  • This approach enhances detector performance, especially in regions previously limited by 2D algorithms.