Framework for the generation of 3-D anatomical atlases

Karl Heinz Hoehne; Andreas Pommert; Martin Riemer; Thomas Schiemann; Rainer Schubert; Ulf Tiede; Werner Lierse

doi:10.1117/12.131104

22 September 1992 Framework for the generation of 3-D anatomical atlases

Karl Heinz Hoehne, Andreas Pommert, Martin Riemer, Thomas Schiemann, Rainer Schubert, Ulf Tiede, Werner Lierse

Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131104
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States

Abstract

In current practice computerized anatomical atlases 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.

Citation Download Citation

Karl Heinz Hoehne, Andreas Pommert, Martin Riemer, Thomas Schiemann, Rainer Schubert, Ulf Tiede, and Werner Lierse "Framework for the generation of 3-D anatomical atlases", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); https://doi.org/10.1117/12.131104

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