title: Automatic realignment of time-separated MR images by genetic algorithm.
abstract: A simple yet highly efficient artificial intelligence technique utilizing a genetic algorithm is used to register time-separated pairs of MRI data sets. To encourage others to try the approach, the algorithm is presented by way of a simple example to a 2-D data set; it is equally applicable to 3-D data. The technique is reliably found to reduce mismatch in images of the distal-interphalangeal joint from the order of several mm to just 200 microm (one pixel). The method and transformation are general and would be suitable for locating physical changes between any image data sets. We believe the technique to be of use in functional imaging, measurement of disease progression with time (e.g., degradation of cartilage in arthritic disease) and pre/post-surgical studies.
authors.affiliation: Department of Physics, University of Exeter, UK.
authors.forename: T
authors.initials: T
authors.lastname: Wanschura
authors.forename: D A
authors.initials: DA
authors.lastname: Coley
authors.forename: W
authors.initials: W
authors.lastname: Vennart
authors.forename: S
authors.initials: S
authors.lastname: Gandy
mesh_terms: D000465:Algorithms; D005384:Finger Joint / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D013997:Time Factors