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MODEL-BASED RECOGNITION OF ANATOMICAL OBJECTS FROM MEDICAL IMAGES

G. P. Robinson
Department of Diagnostic Radiology,
Yale University Medical School,
333 Cedar Street,
New Haven CT 06520
Tel: 203 737 4271
Fax: 203 737 4273
e-mail: robinson@noodle.med.yale.edu

A.C.F. Colchester and L.D. Griffin
Department of Neurology,
UMDS (Guy's Hospital),
London SE1 9RT

Tel: 0101 44 71 955 4162
Fax: 0101 44 71 378 1221
e-mail: l.griffin@umds.ac.uk

Fri Jul 15 14:54:47 EDT 1994

Abstract:

We present both a high-level symbolic model of the human brain, and a method of using this model to aid in the recognition of objects from medical images. The model is stored as a frame based semantic network consisting of three coexisting graphs (a spatial adjacency graph; a part hierarchy; and an inheritance graph). We propose a method similar to assumption-based truth maintenance systems for the collating and reasoning processes required in the labelling of input images.



mceachen@
Fri Jul 15 14:54:31 EDT 1994