Pixel and voxel-basis are commonly used for designing X-ray CT projectors that underly existing projection and back-projection methods that are widely used in practice. We introduce a bilinear projector for modeling X-ray optics and provide experimental evidence showing its impact in reducing discretization artifacts in Model-Based Iterative Reconstruction (MBIR). We demonstrate the advantages of using this bilinear model over the conventional pixel-based projectors (piecewise constant) for MBIR in realistic simulations in presence of nonlinearity of the Lambert-Beer law. We derive efficient piecewise polynomial forms for footprint and detector blur computations for this new projector and demonstrate its efficient GPU implementation for high resolution fanbeam geometry.

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Bilinear Projector: Mitigating Discretization Artifacts in Model Based Iterative Reconstruction for X-Ray CT

  • Ke Chen,
  • Alireza Entezari

摘要

Pixel and voxel-basis are commonly used for designing X-ray CT projectors that underly existing projection and back-projection methods that are widely used in practice. We introduce a bilinear projector for modeling X-ray optics and provide experimental evidence showing its impact in reducing discretization artifacts in Model-Based Iterative Reconstruction (MBIR). We demonstrate the advantages of using this bilinear model over the conventional pixel-based projectors (piecewise constant) for MBIR in realistic simulations in presence of nonlinearity of the Lambert-Beer law. We derive efficient piecewise polynomial forms for footprint and detector blur computations for this new projector and demonstrate its efficient GPU implementation for high resolution fanbeam geometry.