@article{PATENT,
      recid = {7403},
      title = {Optimization-based reconstruction with an  image-total-variation constraint in PET},
      number = {PATENT},
      month = {Mar},
      year = {2022},
      abstract = {In an emission imaging method, emission imaging data are  acquired for a subject using an emission imaging scanner  (10) including radiation detectors (12). The emission  imaging data are reconstructed to generate a reconstructed  image by executing a constrained optimization program  including a measure of data fidelity between the acquired  emission imaging data an a reconstruct-image transformed by  a data model of the imaging scanner to emission imaging  data. During the reconstructing, each iteration of the  constrained optimization program is constrained by an image  variability constraint. The reconstructed image is  displayed the reconstructed image on a display device. The  emission imaging may be positron emission tomography (PET)  imaging data, optionally acquired using a sparse detector  array. The image variability constraint may be a constraint  that an image total variation (image TV) of a latent image  defined using a Gaussian blurring matrix be less than a  maximum value.},
      url = {http://knowledge.uchicago.edu/record/7403},
}