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