Iterative reconstruction artefact removal using null-space networks

Jan 25, 2020 Blind Submission readers: everyone Show Bibtex
  • Track: short paper
  • Keywords: null space.neural network, data consistency, image reconstruction, PET
  • Abstract: Incorporation of resolution modelling (RM) into iterative reconstruction produces Gibbs ringing artefacts which adversely affect clinically used metrics such as SUV${}_{\mbox{max}}$. We propose the use of a null space network as a regulariser to compensate for these artefacts without introducing bias.
  • Paper Type: methodological development
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