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Publication Detail
Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT using a Single Attenuation Map.
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Bousse A, Bertolli O, Atkinson D, Arridge S, Ourselin S, Hutton B, Thielemans K
  • Publisher:
    Institute of Electrical and Electronics Engineers
  • Publication date:
  • Journal:
    IEEE Transactions on Medical Imaging
  • Medium:
  • Status:
  • Print ISSN:
  • Language:
This work provides an insight into positron emission tomography (PET) joint image reconstruction/motion estimation (JRM) by maximization of the likelihood, where the probabilistic model accounts for warped attenuation. Our analysis shows that maximum-likelihood (ML) JRM returns the same reconstructed gates for any attenuation map (-map) that is a deformation of a given -map, regardless of its alignment with the PET gates. We derived a joint optimization algorithm accordingly, and applied it to simulated and patient gated PET data. We first evaluated the proposed algorithm on simulations of respiratory gated PET/CT data based on the XCAT phantom. Our results show that independently of which -map is used as input to JRM: (i) the warped -maps correspond to the gated -maps, (ii) JRM outperforms the traditional post-registration reconstruction and consolidation (PRRC) for hot lesion quantification and (iii) reconstructed gated PET images are similar to those obtained with gated -maps. This suggests that a breath-held -map can be used. We then applied JRM on patient data with a - map derived from a breath-held high resolution CT (HRCT), and compared the results with PRRC, where each reconstructed PET image was obtained with a corresponding cine-CT gated - map. Results show that JRM with breath-held HRCT achieves similar reconstruction to that using PRRC with cine-CT. This suggests a practical low-dose solution for implementation of motion-corrected respiratory gated PET/CT.
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