Accession Number : ADA290705
Title : Graphical Shape Templates for Deformable Model Registration with Applications to MRI Brain Scans.
Descriptive Note : Technical rept.,
Corporate Author : CHICAGO UNIV IL DEPT OF STATISTICS
Personal Author(s) : Amat, Yali
PDF Url : ADA290705
Report Date : JAN 1995
Pagination or Media Count : 23
Abstract : A new method of template matching is proposed using graphical templates. A graph of landmarks is chosen in the template image. All possible candidates for these landmarks are found in the data image using robust relational local operators. A dynamic programming algorithm on decomposable subgraphs of the template graph finds the optimal match to a subset of the candidate points in polynomial time. This combination of local operators to describe points of interest/landmarks and a graph to describe their geometric orientation in the plane, yields fast and precise matches of the model to the data, with no initialization required. In addition it provides a generic toolbox for modeling shape in a variety of applications. This methodology is applied in the context of T2 weighted MR images of the brain.
Descriptors : *SCANNING, *BRAIN, *TEMPLATES, *MEDICAL COMPUTER APPLICATIONS, ALGORITHMS, MODELS, GRAPHS, SHAPE, ORIENTATION(DIRECTION), X RAYS, TIME, IMAGES, POLYNOMIALS, GRAPHICS, GEOMETRY, DYNAMIC PROGRAMMING, MATCHING, NAVIGATION REFERENCE.
Subject Categories : Acoustic Detection and Detectors
Anatomy and Physiology
Machinery and Tools
Distribution Statement : APPROVED FOR PUBLIC RELEASE