PIB QC Tracking
A data frame with 294 rows and 33 variables
A dataset with variables as follows:
RID N Participant roster ID
SITEID N Site ID
VISCODE T Visit code
USERDATE S Date record created
EXAMDATE D Examination Date
PQFILENO N Upload Number
PQDATTRA D Date images uploaded to LONI
LONIUID T LONI Unique Series ID
PQDATE D Date reviewed
PQACQFR N Acquisition
PQCORALG N Correct Reconstruction Algorithm?
PQRECON N Check which of the following reconstruction algorithms was used
PQCORNUM N If OSEM or Ramla, correct # iterations and subsets?
PQCORFIL N Correct Filters/TRIM?
PQCORTHI N Correct Slice Thickness (PET/CT systems)?
PQVOXEL N Acceptable Voxel Size?
PQALLFRAME N Were all frames acceptable?
PQUNUSABLE T Indicate which frames were unacceptable:
PQREASON T Indicate why frames were unacceptable:
PQREASSP T If Other, Specify:
PASS N Pass QC?
PQPROERR T A. Processing Error(s)
PQERRSP T Specify
PQACTION N B. QC outcome
PQISSUES T Imaging issues
PQISSOTH T Other, specify
COMMENTS T Additional QC Comments
QUARANTINE N Release from quarantine?
PAYSITE N Pay Site?
USERDATE2 S Date record last updated