Reconstruction of 2D PET data with Monte Carlo generated natural pixels

  title={Reconstruction of 2D PET data with Monte Carlo generated natural pixels},
  author={Charles L. Byrne and Stefaan Vandenberghe and Edward J. Soares and Ignace Lemahieu and Stephen J. Glick},
  journal={2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)},
  pages={356-359 Vol. 1}
In discrete detector PET, natural pixels are image basis functions calculated from responses of detector pairs. By using reconstruction with natural pixels the discretization of the object into a predefined grid can be avoided. Instead of trying to find the object x from system matrix A and measured data p by solving Ax = p, one solves Mq = AA/sup T/q = p. The backprojection of the final q results in the estimated image of the object x. In previous work natural pixels were calculated by… CONTINUE READING
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A 3d model incorporating spatial detection uncertainty in continuous detector pet: Monte carlo evaluation of a theoretical model

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  • Oral presentation at the Fully 3D meeting 2003…
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