title: Optimized, automated striatal uptake analysis applied to SPECT brain scans of Parkinson's disease patients.
abstract: Reliable quantitative dopamine transporter imaging is critical for early and accurate diagnosis of Parkinson's disease (PD). Image quantitation is made difficult by the variability introduced by manual interventions during the quantitative processing steps. A fully automated objective striatal analysis (OSA) program was applied to dopamine transporter images acquired from PD subjects with early symptoms of suspected parkinsonism and compared with manual analysis by a trained image-processing technologist.
  
  
  METHODS
  A total of 101 (123)I-beta-CIT SPECT scans were obtained of subjects recruited to participate in the Query-PD Study. Data were reconstructed and then analyzed according to a package of scripts (OSA) that reorients the SPECT brain volume to the standard geometry of an average scan, automatically locates the striata and occipital structures, locates the caudate and putamen, and calculates the background-subtracted striatal uptake ratio (V3''). The striatal uptake ratio calculated by OSA was compared with manual analysis by a trained image-processing technologist. Several parameters were varied in the automated analysis, including the number of summed transverse slices and the size and separation of the regions of interest applied to the caudate and putamen to determine the optimum OSA analysis. The parameters giving V3'' with the closest correlation to the manual analysis were accepted as optimal.
  
  
  RESULTS
  The optimal comparison between the V3'' obtained by the human analyst and that obtained by the automated OSA analysis yielded a correlation coefficient of 0.96.
  
  
  CONCLUSIONS
  Our optimized OSA delivers V3'' evaluations that closely correlate with a similar evaluation manually applied by a highly trained image-processing technologist.
authors.affiliation: Institute for Neurodegenerative Disorders, and Molecular Neuroimaging, LLC, New Haven, Connecticut 06510, USA. gzubal@indd.org
authors.forename: I George
authors.initials: IG
authors.lastname: Zubal
authors.forename: Michele
authors.initials: M
authors.lastname: Early
authors.forename: Olive
authors.initials: O
authors.lastname: Yuan
authors.forename: Danna
authors.initials: D
authors.lastname: Jennings
authors.forename: Kenneth
authors.initials: K
authors.lastname: Marek
authors.forename: John P
authors.initials: JP
authors.lastname: Seibyl
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001322:Autoanalysis; D001921:Brain / Q000000981:diagnostic imaging* / Q000378:metabolism; D003042:Cocaine / Q000031:analogs & derivatives*; D015331:Cohort Studies; D003342:Corpus Striatum / Q000000981:diagnostic imaging / Q000378:metabolism; D050483:Dopamine Plasma Membrane Transport Proteins / Q000378:metabolism*; D006257:Head / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007457:Iodine Radioisotopes; D010300:Parkinson Disease / Q000000981:diagnostic imaging* / Q000378:metabolism; D019275:Radiopharmaceuticals; D012984:Software; D015899:Tomography, Emission-Computed, Single-Photon
chemical_list: D050483:Dopamine Plasma Membrane Transport Proteins; D007457:Iodine Radioisotopes; D019275:Radiopharmaceuticals; C069723:2beta-carbomethoxy-3beta-(4-iodophenyl)tropane; D003042:Cocaine