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Automatical Adaption of Anatomical Masks to the Neocortex

  • F. Kruggel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 905)

Abstract

We describe an image processing chain that is capable of identifying sulci and gyri in MRI brain slices. Contrary to current interactive map fitting schemes it tries to simulate a radiologist’s way of image analysis — a process we call image understanding by landmark detection. In a nutshell, we detect the entry points of the neocortical sulci by an automated procedure. These entry points are identified as belonging to a specific sulcus by comparison with an anatomical database. From these landmarks a further analysis of the surrounding region can be performed. This algorithm is used for an anatomical mapping facility in a multimodal image editor for medical volume datasets.

Keywords

Watershed Segmentation Landmark Detection Biomedical Image Analysis Test Contour Segmentation Figure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • F. Kruggel
    • 1
  1. 1.Neurologische KlinikKlinikum Rechts der IsarMünchenDeutschland

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