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Navigating 3D Anatomical Images With a Semantic Ontology

(An Ontology-Based Navigation System for Human Anatomy)

Nina Wacholder Ph.D.#+, Judith M. Venuti, Ph.D.+*, Celina Imielinska, Ph.D.#+, Judith Klavans, Ph.D.#,  and  Pat Molholt, Ph.D.
* Department of Anatomy and Cell Biology, 
+ Office of Scholarly Resources, 
   College of Physicians and Surgeons of Columbia University, New York, NY 10032, USA
# Department of Computer Science, Columbia University
nina@cs.columbia.edu , jmv14@columbia.edu ,ci42@columbia.edu , klavans@cs.columbia.edu molholt@columbia.edu 

Abstract
      In this paper, we describe a prototype application in which 3-D anatomical images, reconstructed from the Visible Human Dataset, are linked to an anatomical ontology—a set of anatomical relations linked by meaningful relations—and displayed graphically in a tree-like structure.  This application will be used as a study tool for medical students and as a system for navigation an application-independent gallery of 3-D anatomical images.
 
Keywords: semantic ontology, relations between anatomical objects, learning, labeling.
 
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