title: Longitudinal image registration with non-uniform appearance change.
abstract: Longitudinal imaging studies are frequently used to investigate temporal changes in brain morphology. Image intensity may also change over time, for example when studying brain maturation. However, such intensity changes are not accounted for in image similarity measures for standard image registration methods. Hence, (i) local similarity measures, (ii) methods estimating intensity transformations between images, and (iii) metamorphosis approaches have been developed to either achieve robustness with respect to intensity changes or to simultaneously capture spatial and intensity changes. For these methods, longitudinal intensity changes are not explicitly modeled and images are treated as independent static samples. Here, we propose a model-based image similarity measure for longitudinal image registration in the presence of spatially non-uniform intensity change.
authors.affiliation: University of North Carolina at Chapel Hill, NC, USA. icsapo@cs.unc.edu
authors.forename: Istvan
authors.initials: I
authors.lastname: Csapo
authors.forename: Brad
authors.initials: B
authors.lastname: Davis
authors.forename: Yundi
authors.initials: Y
authors.lastname: Shi
authors.forename: Mar
authors.initials: M
authors.lastname: Sanchez
authors.forename: Martin
authors.initials: M
authors.lastname: Styner
authors.forename: Marc
authors.initials: M
authors.lastname: Niethammer
mesh_terms: D000375:Aging / Q000473:pathology*; D000465:Algorithms; D000818:Animals; D001921:Brain / Q000033:anatomy & histology*; D000882:Haplorhini; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008137:Longitudinal Studies; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique