Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies

We propose an ontology of the brain cortex anatomy representing both numeric and symbolic knowledge. Implementation with web technologies facilitates the ontology's dissemination and reuse in different application contexts. This model references the main terminological sources and can be integrated into larger scale models. It was instantiated as an XML file encompassing anatomical features of the frontal, temporal and parietal lobes. A standalone Java application and an HTML based one have been developed in order to illustrate the knowledge base flexibility. They are both fully interactive with 3D VRML scenes representing the shapes of brain sulci.

[1]  Werner Ceusters,et al.  Reconciling users' needs and formal requirements: issues in developing a reusable ontology for medicine , 1998, IEEE Transactions on Information Technology in Biomedicine.

[2]  David Metcalf,et al.  A Digital Brain Atlas for Surgical Planning, Model-Driven Segmentation, and Teaching , 1996, IEEE Trans. Vis. Comput. Graph..

[3]  James F. Brinkley.  The Digital Anatomist Project , 1994 .

[4]  Tomokatsu Hori,et al.  Angiography of the Human Brain Cortex , 1977, Springer Berlin Heidelberg.

[5]  Christian Barillot,et al.  Modeling Cortical Sulci with Active Ribbons , 1997, Int. J. Pattern Recognit. Artif. Intell..

[6]  Andreas Pommert,et al.  Symbolic modeling of human anatomy for visualization and simulation , 1994, Other Conferences.

[7]  W L Nowinski,et al.  Multiple brain atlas database and atlas-based neuroimaging system. , 1997, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[8]  M. Torrens.  Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268 , 1990 .

[9]  Serge Garlatti,et al.  Computerized brain atlases as decision support systems: a methodological approach , 1998, Artif. Intell. Medicine.

[10]  Douglas M. Bowden,et al.  NeuroNames Brain Hierarchy , 1995, NeuroImage.

[11]  E. Cabanis,et al.  The Human Brain: Surface, Three-Dimensional Sectional Anatomy and Mri , 1991 .

[12]  José L. V. Mejino,et al.  Research Paper: Motivation and Organizational Principles for Anatomical Knowledge Representation: The Digital Anatomist Symbolic Knowledge Base , 1998, J. Am. Medical Informatics Assoc..