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parallelproj 2.0.0 documentation
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parallelproj 2.0.0 documentation

Getting started

  • Installation
  • Quickstart
  • Changelog

Examples

  • 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
      • Zig-zag sampling of LORs in a sinogram view
      • Sinogram symmetries
      • Detector mashing: fewer, bigger virtual detectors
      • TOF-bin mashing: fewer, wider time-of-flight bins
    • 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)
      • Listmode to sinogram unlisting
    • Emission tomography reconstruction algorithms (sinogram data)
      • Convergence comparison: MLEM vs OSEM vs SVRG
      • Convergence comparison: SGD vs SVRG with logcosh 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
      • TOF vs non-TOF: variance reduction in a uniform cylinder
      • RAM-efficient OSEM with disk-backed TOF sinograms
      • Exact vs. “safe epsilon” mode of the negative Poisson log-likelihood
    • Emission tomography reconstruction algorithms (listmode data)
      • Listmode MLEM, OSEM, and SVRG
      • Convergence comparison: SGD vs SVRG with regularization (sinogram and listmode)
      • PDHG and LM-SPDHG to optimize the Poisson logL and total variation
    • Transmission and joint activity/attenuation (MLAA) examples
      • Transmission reconstruction: MLTR, SPS and L-BFGS-B
      • Accelerating MLTR with ordered subsets (OS-MLTR) and SVRG
      • Penalised transmission reconstruction (MAPTR) with an edge-preserving prior
      • Joint activity and attenuation reconstruction (MLAA) for TOF PET
    • Custom parallelproj pytorch layer examples
      • pytorch parallelproj projection layer

API

  • API reference
    • PET scanner geometries
    • PET LOR / sinogram descriptors
    • PET projectors
    • PET TOF parameters
    • Linear operators
    • Functions
    • PET sinogram symmetries
    • PET LM Unlisting
    • Data
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