An Object Oriented Neuroanatomic Atlas

J.L. Sponsler, F. Van Scoy, and D. Pacurari (USA)


artificial intelligence, object orienteddesign, neurology, expert systems, computer graphics.


This report describes the design and development of a knowledge based object-oriented system called the NeuroAnatomic Atlas (NAA). The NAA serves as the core of the Anatomic Localization Algorithm (ALA) and encodes gross and macroscopic structures. Methods: A prototype atlas has been implemented using the Common Lisp Object System and consists of over 1100 objects including arteries, cortical regions, basal ganglia, brainstem nuclei, dermatomes, dorsal root ganglia, and white matter tracts. The atlas has been associated with a three-dimensional brain model for display of structures. Results: Using a query language, the atlas provides a mechanism for mapping from symptoms to anatomic pathways and from pathways to vascular structures. Fundamental localization algorithms have shown accuracy in finding structural lesions.

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