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Data from Study: Respiratory Motion Correction of PET using MR-Constrained PET-PET Registration

Balfour, Daniel

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  author       = {Balfour, Daniel},
  title        = {{Data from Study: Respiratory Motion Correction of 
                   PET using MR-Constrained PET-PET Registration}},
  month        = sep,
  year         = 2015,
  note         = {{The file names reflect which image the file 
                   contains according to a number of substrings. As
                   outlined in the description, there are several
                   tags associated with each PET simulation.
                   Specifically these are: - volnN, where N refers to
                   the volunteer identification number (1-4) -
                   motionless simulations contain the tag "stat",
                   short for "static" - LesPosN, where N refers to
                   the lesion position (1-9) - LesDiamN, where N
                   refers to the lesion diameter in mm (10 or 14) -
                   gateN, where N is the respiratory bin  Note that
                   all PET image intensities are multiplied by 100 to
                   avoid problems with numerical precision. All PET
                   filenames contain the substring "x100" to remind
                   the user of this.  Each set of PET images are
                   zipped according to volunteer ID and motion
                   status: whether motion is included (substring
                   "wMotion") or not included ("noMotion"). Note that
                   the latter was used for validation purposes.  All
                   MR dynamic images are contained within
                   "", which follow the tagging system
                   mentioned above - only volunteer ID and the
                   dynamic number are included. Note that there are a
                   total of 35 dynamic volumes for each volunteer,
                   except for volunteer 4, for which there are 70
                   volumes available. These have been included for
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.30516},
  url          = {}
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