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Rebinning-Based Deterministic Image Reconstruction Methods for Compton Camera

컴프턴 카메라를 위한 재배열 기반 확정론적 영상재구성법

  • Lee, Mi-No (Department of Electronic Engineering, Paichai University) ;
  • Lee, Soo-Jin (Department of Electronic Engineering, Paichai University) ;
  • Seo, Hee (Department of Nuclear Engineering. Hanyang University) ;
  • Nguyen, Van-Giang (Department of Electronic Engineering, Paichai University)
  • 이미노 (배재대학교 전자공학과) ;
  • 이수진 (배재대학교 전자공학과) ;
  • 서희 (한양대학교 원자력공학과) ;
  • Received : 2010.10.04
  • Accepted : 2011.01.14
  • Published : 2011.02.28

Abstract

While Compton imaging is recognized as a valuable 3-D technique in nuclear medicine, reconstructing an image from Compton scattered data has been of a difficult problem due to its computational complexity. The most complex and time-consuming computation in Compton camera reconstruction is to perform the conical projection and backprojection operations. To alleviate the computational burden imposed by these operations, we investigate a rebinning method which can convert conical projections into parallel projections. The use of parallel projections allows to directly apply the existing deterministic reconstruction methods, which have been useful for conventional emission tomography, to Compton camera reconstruction. To convert conical projections into parallel projections, a cone surface is sampled with a number of lines. Each line is projected onto an imaginary plane that is mostly perpendicular to the line. The projection data rebinned in each imaginary plane can then be treated as the standard parallel projection data. To validate the rebinning method, we tested with the representative deterministic algorithms, such as the filtered backprojection method and the algebraic reconstruction technique. Our experimental results indicate that the rebinning method can be useful when the direct application of existing deterministic methods is needed for Compton camera reconstruction.

Keywords

References

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