Literature DB >> 9929254

The digital anatomist structural abstraction: a scheme for the spatial description of anatomical entities.

P J Neal1, L G Shapiro, C Rosse.   

Abstract

In this paper, we propose a generalized scheme for the symbolic description of the spatial attributes of anatomical entities. The power of the scheme lies in the ability to model the spatial objects at the highest level of granularity: information can be obtained at the desired level of detail needed for a given application. This scheme uses the topological classes of point, line, surface, and volume to represent zero-D, one-D, two-D and three-D objects. A spatial object participates as a node in three complementary networks; the topology network, the part-of network, and the spatial associations network. The topology network describes a spatial object in terms of its boundaries, the part-of network describes a spatial object in terms of its parts, and the spatial associations network describes the spatial object in terms of its relationships to other spatial objects. All three of the networks can be used in combination or alone to answer queries to the spatial information system. The Digital Anatomist Structural Abstraction together with the other components of the Digital Anatomist Foundational Model will provide the information for describing and reasoning about anatomical entities.

Mesh:

Year:  1998        PMID: 9929254      PMCID: PMC2232159     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  2 in total

1.  Motivation and organizational principles for anatomical knowledge representation: the digital anatomist symbolic knowledge base.

Authors:  C Rosse; J L Mejino; B R Modayur; R Jakobovits; K P Hinshaw; J F Brinkley
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

2.  Formative evaluation of a frame-based model of locative relationships in human anatomy.

Authors:  C A Bean
Journal:  Proc AMIA Annu Fall Symp       Date:  1997
  2 in total
  4 in total

1.  Conceptualization of anatomical spatial entities in the Digital Anatomist Foundational Model.

Authors:  J L Mejino; C Rosse
Journal:  Proc AMIA Symp       Date:  1999

2.  Towards a sharable numeric and symbolic knowledge base on cerebral cortex anatomy: lessons learned from a prototype.

Authors:  Olivier Dameron; Bernard Gibaud; Anita Burgun; Xavier Morandi
Journal:  Proc AMIA Symp       Date:  2002

3.  Representing complexity in part-whole relationships within the Foundational Model of Anatomy.

Authors:  José V Mejino; Augusto V Agoncillo; Kurt L Rickard; Cornelius Rosse
Journal:  AMIA Annu Symp Proc       Date:  2003

4.  Development and evaluation of methods for structured recording of heart murmur findings using SNOMED-CT post-coordination.

Authors:  Julie M Green; Jeffrey R Wilcke; Jonathon Abbott; Loren P Rees
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

  4 in total

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