4D-PET reconstruction using a spline-residue model with spatial and temporal roughness penalties

@article{Ralli20184DPETRU,
  title={4D-PET reconstruction using a spline-residue model with spatial and temporal roughness penalties},
  author={George P. Ralli and Michael A. Chappell and Daniel R. McGowan and Ricky A. Sharma and Geoff S. Higgins and John D. Fenwick},
  journal={Physics in medicine and biology},
  year={2018},
  volume={63},
  pages={095013 - 095013}
}
4D reconstruction of dynamic positron emission tomography (dPET) data can improve the signal-to-noise ratio in reconstructed image sequences by fitting smooth temporal functions to the voxel time-activity-curves (TACs) during the reconstruction, though the optimal choice of function remains an open question. We propose a spline-residue model, which describes TACs as weighted sums of convolutions of the arterial input function with cubic B-spline basis functions. Convolution with the input… 
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