title: Preprocessing film-copied MRI for studying morphological brain changes.
abstract: The magnetic resonance imaging (MRI) of the brain is one of the important data items for studying memory and morbidity in elderly as these images can provide useful information through the quantitative measures of various regions of interest of the brain. As an effort to fully automate the biomedical analysis of the brain that can be combined with the genetic data of the same human population and where the records of the original MRI data are missing, this paper presents two effective methods for addressing this imaging problem. The first method handles the restoration of the film-copied MRI. The second method involves the segmentation of the image data. Experimental results and comparisons with other methods suggest the usefulness of the proposed image analysis methodology.
authors.affiliation: Bioinformatics Research Group, ADFA School of Information Technology and Electrical Engineering, University of New South Wales, Canberra, ACT 2600, Australia. t.pham@adfa.edu.au
authors.forename: Tuan D
authors.initials: TD
authors.lastname: Pham
authors.forename: Uwe
authors.initials: U
authors.lastname: Eisenblätter
authors.forename: Bernhard T
authors.initials: BT
authors.lastname: Baune
authors.forename: Klaus
authors.initials: K
authors.lastname: Berger
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology; D001927:Brain Diseases / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods*; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity; D012984:Software