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Publication Detail
Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities
  • Publication Type:
    Conference
  • Authors:
    Brusaferri L, Emond EC, Atkinson D, Ourselin S, Hutton BF, Arridge S, Thielemans K
  • Publisher:
    IEEE
  • Publication date:
    09/04/2020
  • Published proceedings:
    2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
  • ISBN-13:
    9781728141640
  • Status:
    Published
  • Name of conference:
    2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
  • Conference place:
    Manchester, UK
  • Conference start date:
    26/10/2019
  • Conference finish date:
    02/11/2019
Abstract
© 2019 IEEE. This study investigates the use of a synergistic edge-preserving prior for a maximum-likelihood reconstruction of PET activity and attenuation images. The effect of the prior was tested on different reconstruction methods: MLAA and our algorithm MLAA-EB-S. Simple simulations on cylindrical phantoms with an insert showed that the presence of a synergistic prior enforces cross-talk related edges when the images are reconstructed with non-TOF MLAA and increases the bias in both the reconstructed activity and attenuation images. However, benefits appear when the joint problem is less ill-posed, as in the case of our method MLAA-EB-S, which exploits scatter information to improve conditioning. Overall, MLAA-EB-S with synergistic prior achieved the lowest bias and variance in both the activity and the attenuation images amongst the compared methods. Therefore, the proposed synergistic prior could be a useful way for improving the performance of MLAA-EB-S without the need of relying on anatomical images.
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