title: Effects of image normalization on the statistical analysis of perfusion MRI in elderly brains.
abstract: OBJECTIVE
  To fully understand the effects of an image processing methodology on the comparisons of regional patterns of brain perfusion over time and between subject groups.
  
  
  METHODS
  Two brain normalization methods were compared using images of elderly controls and subjects with MCI and AD: the normalization package of statistical parametric mapping (SPM2), and a fully deformable model (FDM). The performance of these two normalization methods was quantitatively evaluated based on two criteria: (a) the alignment accuracy of five brain structures to the colin27 reference volume, and (b) impact of spatial normalization methods on the sensitivity of perfusion magnetic resonance imaging (pMRI).
  
  
  RESULTS
  The delineations of all five brain structures had significantly higher overlap with expert manual tracings using FDM compared to SPM (two-tailed, P < 0.025). When applied to the biostatistical analysis of CBF maps, a larger number of statistically significant voxels was identified from FDM compared with SPM2 regardless of the effects of the threshold and smoothing kernel.
  
  
  CONCLUSIONS
  The greater degree of deformation freedom associated with FDM may yield more accurate region matching and higher statistical sensitivity in identifying regions of CBF differences between elderly groups with prevalent late-life neurodegenerative conditions.
authors.affiliation: Department of Computer Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. wdai@bidmc.harvard.edu
authors.forename: Weiying
authors.initials: W
authors.lastname: Dai
authors.forename: Owen T
authors.initials: OT
authors.lastname: Carmichael
authors.forename: Oscar L
authors.initials: OL
authors.lastname: Lopez
authors.forename: James T
authors.initials: JT
authors.lastname: Becker
authors.forename: Lewis H
authors.initials: LH
authors.lastname: Kuller
authors.forename: H Michael
authors.initials: HM
authors.lastname: Gach
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D000544:Alzheimer Disease / Q000473:pathology*; D000704:Analysis of Variance; D001921:Brain / Q000098:blood supply / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D003072:Cognition Disorders / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male