title: Statistical methods in neuroimaging with particular application to emission tomography.
abstract: We review statistical methods being applied in four key areas connected with PET and SPECT neuroimaging: (i) image reconstruction (briefly); (ii) tracer-kinetic, or compartmental, modelling; (iii) inference from region-of-interest data; (iv) inference at the pixel or voxel level. Under the last heading, we pay particular attention to the analysis of data from serial scans. We conclude by identifying some topics for future statistical research.
authors.affiliation: Department of Statistics, University of Glasgow, UK.
authors.forename: J H
authors.initials: JH
authors.lastname: McColl
authors.forename: A P
authors.initials: AP
authors.lastname: Holmes
authors.forename: I
authors.initials: I
authors.lastname: Ford
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D001931:Brain Mapping / Q000379:methods; D016002:Discriminant Analysis; D005163:Factor Analysis, Statistical; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008959:Models, Neurological; D015233:Models, Statistical; D009420:Nervous System / Q000000981:diagnostic imaging*; D012016:Reference Values; D014055:Tomography, Emission-Computed / Q000706:statistics & numerical data*; D015899:Tomography, Emission-Computed, Single-Photon / Q000706:statistics & numerical data*