Anatomical atlases based on volume visualization

  • Authors:
  • K. H. Höhne;A. Pommert;M. Riemer;Th. Schiemann;R. Schubert;U. Tiede;W. Lierse

  • Affiliations:
  • Institute of Mathematics and Computer Science in Medicine (IMDM);Institute of Mathematics and Computer Science in Medicine (IMDM);Institute of Mathematics and Computer Science in Medicine (IMDM);Institute of Mathematics and Computer Science in Medicine (IMDM);Institute of Mathematics and Computer Science in Medicine (IMDM);Institute of Mathematics and Computer Science in Medicine (IMDM);University Hospital Eppendorf Hamburg, Germany

  • Venue:
  • VIS '92 Proceedings of the 3rd conference on Visualization '92
  • Year:
  • 1992

Quantified Score

Hi-index 0.00

Visualization

Abstract

In current practice computerized anatomical atlasses are based on a collection of images that can be accessed via a hypermedia program shell. In order to overcome the drawback of a limited number of available views, we propose an approach that uses an anatomical model as data base. The model has a two layer structure. The lower level is a volume model with a set of semantic attributes belonging to each voxel. Its spatial representation is derived from data sets of Magnetic Resonance Imaging and Computer Tomography. The semantic attributes are assigned by an anatomist using a volume editor. The upper level is a set of relations between these attributes which are specified by the expert as well. Interactive visualization tools such as multiple surface display, transparent rendering and cutting are provided. As a substantial feature of the implementation the semantic and the visualization oriented descriptions are stored in a knowledge base. It is shown that the combination of this object oriented data structure with advanced volume visualization tools provides the "look and feel" of a real dissection. The concept which even allows simulations like surgery rehearsal, is claimed to be superior to all presently known atlas techniques.