IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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Reconstruction of In-beam PET for Carbon therapy with prior-knowledge of carbon beam-track

  • Kim, Kwangdon (Department of IT Convergence, Korea University) ;
  • Bae, Seungbin (Department of Bio-convergence Engineering, Korea University) ;
  • Lee, Kisung (Department of Bio-convergence Engineering, Korea University) ;
  • Chung, Yonghyun (Department of Radiological Science, Yonsei University) ;
  • An, Sujung (Department of Radiological Science, Yonsei University) ;
  • Joung, Jinhun (Department of Bio-convergence Engineering, Korea University)
  • Received : 2015.10.15
  • Accepted : 2015.11.30
  • Published : 2015.12.31
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Abstract

There are two main artifacts in reconstructed images from in-beam positron emission tomography (PET). Unlike generic PET, in-beam PET uses the annihilation photons that occur during heavy ion therapy. Therefore, the geometry of in-beam PET is not a full ring, but a partial ring that has one or two openings around the rings in order for the hadrons to arrive at the tumor without prevention of detector blocks. This causes truncation in the projection data due to an absence of detector modules in the openings. The other is a ring artifact caused by the gaps between detector modules also found in generic PET. To sum up, in-beam PET has two kinds of gap: openings for hadrons, and gaps between the modules. We acquired three types of simulation results from a PET system: full-ring, C-ring and dual head. In this study, we aim to compensate for the artifacts that come from the two types of gap. In the case of truncation, we propose a method that uses prior knowledge of the location where annihilations occur, and we applied the discrete-cosine transform (DCT) gap-filling method proposed by Tuna et al. for inter-detector gap.

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References

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