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A System Calibration and Fast Iterative Reconstruction Method for Next-Generation SPECT Imagers.

Brian W Miller1, Roel Van Holen2, Harrison H Barrett1

  • 1Center for Gamma-Ray Imaging and the College of Optical Sciences, University of Arizona, Tucson, AZ 85724 USA.

IEEE Nuclear Science Symposium Conference Record. Nuclear Science Symposium
|November 17, 2015
PubMed
Summary

High-resolution gamma cameras present memory challenges for tomographic reconstruction. A novel method generates the system matrix on-the-fly using graphics hardware, solving storage issues in SPECT imaging.

Keywords:
OSEMSingle-photon emission computed tomography (SPECT)calibrationgraphics processing unitshigh-performance computingimage reconstructionsystem matrix

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Area of Science:

  • Medical Imaging
  • Computer Science
  • Physics

Background:

  • High-resolution gamma cameras with millions of detector elements are emerging.
  • Large voxel bin numbers in SPECT imagers cause system matrix memory storage issues.
  • Iterative algorithms for fast tomographic reconstruction are computationally intensive.

Purpose of the Study:

  • To develop a method for efficient system matrix generation in SPECT.
  • To address memory storage limitations in high-resolution SPECT imaging.
  • To enable fast tomographic reconstructions on graphics hardware.

Main Methods:

  • Parameterizing detector response to a point source.
  • Generating the system matrix dynamically during iterative reconstruction (MLEM/OSEM).
  • Utilizing graphics hardware for on-the-fly matrix computation.

Main Results:

  • Successfully addressed memory storage issues for the system matrix.
  • Demonstrated efficient on-the-fly system matrix generation.
  • Presented calibration, interpolation, and reconstruction results using the FastSPECT III small-animal SPECT imager.

Conclusions:

  • The developed method effectively overcomes memory limitations in high-resolution SPECT.
  • On-the-fly system matrix generation on graphics hardware facilitates fast tomographic reconstructions.
  • This approach is crucial for advanced small-animal SPECT imaging systems.