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parallelproj 2.0.0dev0 documentation
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parallelproj 2.0.0dev0 documentation

Getting started

  • Installation
  • Examples
    • PET scanner and sinogram geometry examples
      • Regular polygon PET scanner geometry
      • LOR descriptors and sinogram definition
      • Modularized (block) PET scanner geometry
      • Michelograms and axial sinogram compression
    • PET sinogram and listmode projector examples
      • PET non-TOF sinogram projector
      • PET TOF sinogram projector
      • Non-TOF and TOF projections using a modularized (block) PET scanner geometry
      • PET listmode projector (non-TOF and TOF)
    • Iterative algorithm examples
      • Convergence comparison: MLEM vs OSEM vs SVRG
      • Convergence comparison: SGD vs SVRG with quadratic regularization
      • PDHG and SPDHG for PET reconstruction with a directional TV prior
      • 2D non-TOF filtered back projection (FBP) of Poisson data
      • DePierro’s algorithm to optimize the Poisson logL with quadratic intensity prior
    • Iterative listmode algorithm examples
      • Listmode MLEM, OSEM, and SVRG
      • Convergence comparison: SGD vs SVRG with regularization (sinogram and listmode)
      • PDHG and LM-SPHG to optimize the Poisson logL and total variation
    • Custom parallelproj pytorch layer examples
      • pytorch parallelproj projection layer
  • Changelog

API

  • Linear operators
  • Functions
  • PET scanner geometries
  • PET LOR / sinogram descriptors
  • PET projectors
  • PET TOF parameters
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Iterative listmode algorithm examples¶

Listmode MLEM, OSEM, and SVRG

Listmode MLEM, OSEM, and SVRG

Convergence comparison: SGD vs SVRG with regularization (sinogram and listmode)

Convergence comparison: SGD vs SVRG with regularization (sinogram and listmode)

PDHG and LM-SPHG to optimize the Poisson logL and total variation

PDHG and LM-SPHG to optimize the Poisson logL and total variation
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Listmode MLEM, OSEM, and SVRG
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DePierro’s algorithm to optimize the Poisson logL with quadratic intensity prior
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