R. Deklerck, M. Suliga, and E. Nyssen (Belgium)
brain anatomy, e-learning assistant, intelligent labeling
In the past a versatile medical image analysis environment has been built, that includes a rich set of visualisation functions for 3D atlases and 3D modality images. Later on, the application has been extended with a novel projection method, which unwraps the complete cortical surface of the brain in a 2D plane without severe geometric distortion. This flat map enables the user to follow the anatomical structures, i.e. the sulci, in their entirety, so that it becomes much easier to recognise them. In order to promote this new visualisation method, a web-based course on cortical brain anatomy has been elaborated on the basis of the material provided by experts in brain anatomy, who identified the anatomical structures in a number of flat maps from different subjects. In addition, these labelled anatomical structures were further processed and represented under the form of a probabilistic atlas. In this paper, we will only briefly discuss the theoretical aspects of this atlas, and show how it can be used by an intelligent labeling tool, meant to assist the students during learning scenarios.
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